Mathematical Problems in Engineering

Mathematical Problems in Engineering / 2020 / Article

Research Article | Open Access

Volume 2020 |Article ID 2807438 |

Lianghai Jin, Han Liu, Xiazhong Zheng, Shu Chen, "Exploring the Impact of Wind Loads on Tower Crane Operation", Mathematical Problems in Engineering, vol. 2020, Article ID 2807438, 11 pages, 2020.

Exploring the Impact of Wind Loads on Tower Crane Operation

Academic Editor: Andras Szekrenyes
Received12 Mar 2020
Revised25 Jun 2020
Accepted01 Jul 2020
Published31 Jul 2020


The construction industry continues to be one of the industries with the highest accident rate. Tower cranes have always been the central component of many construction operations. With recent advancements in tower cranes, more efforts have been made for their safe operation. The impact of natural environmental factors on the operation of tower cranes cannot be ignored, especially the impact of the wind load, which can be found in construction regulations worldwide. Therefore, a large number of recent studies have focused on exploring different approaches to improving the impact of loads, such as improved feedback controllers and collocated sensors. However, there are few studies on the impact of the flexible cable pendulum system under wind load. To quantify the impact in this paper, first, the swing model of the hanging and the model of sling fluctuation are proposed as the base. Second, the flexible cable pendulum model is designed for the impact of tower cranes under wind load. By field experiments, the applicability of the model in practical use is analyzed. A case of the Crane Beach Hydropower Station is investigated as a demonstration. With MATLAB programming, the variation in the hanging impulse with wind speed is shown, indicating that the maximum wind speed should be 12 m/s if the factors that people can control are considered. When considering the factors that can be harmful to humans, the maximum wind speed is 17 m/s. With the proposed model, the impacts of wind load on tower crane operation can be quantified without actual deployment, offering a more straightforward quantitative tool for safe regulations and engineering management.

1. Introduction

Tall and flexible tower cranes are widely used at construction jobsites, and irregular oscillation of the hanging caused by the load is an important cause of tower cranes hitting people [1]. In addition, environmental wind is the major external disturbance source of hanging payloads [2], which leads to additional sway. Thus, wind is always considered when designing safety regulations of tower cranes [3]. In China, the general regulation is to stop the operations of tower cranes when the wind scale reaches a certain level (JGJ-276-2012). However, the regulations are usually based on accident analysis, and sometimes the wind does not affect the operation of tower cranes, though they must be stopped because of the regulations. This setback results in less than optimal efficiency, higher costs, and longer deadlines. Additionally, some projects cannot stop construction halfway. Therefore, it is necessary to explore the maximum wind speed at which tower cranes can operate.

The crane system of the tower crane including the lifting rope and hanging is generally known as the flexible cable pendulum system. When a strong wind occurs, the movement of the flexible cable pendulum system may be affected [4]. Once the flexible cable pendulum system is affected, it will affect the movement state of the hanging, resulting in errors in landing [5]. The inaccurate location of the landing may lead to construction errors and engineering problems. Even more seriously, it may hit construction personnel and cause safety accidents [6]. Therefore, the motion of the flexible cable pendulum system under horizontal wind loads should be studied. This can provide the basis for the limit of the wind scale when the construction must stop for safety management. In this manuscript, the movement of the flexible cable pendulum under a horizontal wind load is tried to be explored.

The first step in exploring the movement is to analyze the movement of the lifting rope and the hanging of the tower crane under wind loads. For a movement of the flexible cable pendulum system of the tower crane, the status constraint conditions would vary in different situations. For example, because different tower cranes have different rope lengths, the movements of the flexible cable pendulum systems would be different even if the same wind load is encountered. Therefore, the length of the rope is an influential factor that affects the movement of the flexible rope under wind loads. For example, a very heavy hanging is much less affected by wind loads than a light hanging. Therefore, not only the length of the rope but also the mass of the hanging should be considered in the model. Thus, these possible impact factors should be fully considered in the modeling process.

In this paper, the movement of a flexible cable pendulum under wind loads is investigated, considering different wind speeds. To quantify the impact of wind on tower cranes, a mathematical model of the flexible cable pendulum wave under the mixed initial boundary conditions is proposed based on the string wave equation because it is impractical to conduct a real field test for every wind speed. By conducting the mathematical model, different wind speeds can be represented in detail by a set of numerical values, including the coordinate value of the flexible pendulum system, force situation, and rope form.

The remainder of this paper is organized as follows. First, the high number of injuries from tower cranes in construction is reviewed, and the impact of wind load on tower cranes and some improvement methods are discussed. Second, the model of the flexible cable pendulum and algorithm optimization are presented. Third, a case of the Crane Beach Hydropower Station is presented and analyzed. Fourth, the findings and limitations of the study are discussed. Finally, the conclusions are summarized.

High injury and fatality rates have continuously been observed in the construction industry. Although the number of accidents in construction has decreased recently, construction is still considered one of the most dangerous industries [7]. Tower cranes are the central component of many construction operations and are associated with a large fraction of construction deaths [8, 9]. Mucenski et al. analyzed 212 nonfatal injuries in the work process. Research has shown that trucks and tower cranes are the riskiest machines. “Struck by an object,” “struck against,” “caught in, under or between,” and “fall to level below” are the most common forms of injury that occur when using construction machinery and tools [10]. Therefore, research on the safety of tower cranes is helpful to reduce the occurrence of construction accidents. Currently, research on tower cranes mainly focuses on lifting plan optimization [11, 12], optimizing the location of tower cranes [13, 14] and the safety of tower cranes. Due to its structure, the tower crane will collapse when the load is too large. Tower cranes have been the subject of research investigations to reduce the swaying of the load for several decades [15]. Tower crane loads exhibit unwanted motions such as swings, twists, and bounces that cause safety hazards and decrease performance. Numerous controllers have been developed to reduce load swing, and Yoon et al. presented a method for generating commands to suppress the oscillations [16]. Vaughan et al. [17] reviewed a command generation technique to suppress the oscillatory dynamics with robustness to frequency changes, and performance improvements occurred during both local and teleoperated control.

Tower crane operation platforms are distant from the ground, and it is very difficult for the driver to accurately visually control the construction machinery location and the location of workers on the ground. The potential collisions in the operating environment depend on the location and movement information of the tower crane signalman macroscopic observations [18]. However, human observational error is one of the causes of tower crane safety accidents [19, 20]. Chen and Luo [21] considered the accuracy features of the localization system and the constraint for decision making and then proposed the precision and recall evaluation model of position-related safety status decision making. Luo et al. [22] improved emerging sensing technologies that offer a solution to improve jobsite safety performance by providing location information to determine a worker’s safety situation regarding proximity to dangers. Yang et al. [23] established an automatic collection, analysis, and early-warning system that can help improve the safe operation of tower cranes. Using the linear approximant, a dynamic measurable output multidelay controller for independent control of the performance outputs of the system is proposed [24]. This system can be used for the signal detection of tower cranes. To improve the blind spots, Lee et al. [25] introduced a newly developed tower crane navigation system that provides three-dimensional information about the building and surroundings as well as the position of the lifted object in real time using various sensors and building information modeling (BIM). Cheng and Teizer [26] presented an approach that aims to increase the situational awareness of tower crane operators by aligning an enhanced understanding of the construction site layout with increased operator visibility of ground-level operations.

The current studies of tower cranes focus on human factor engineering. However, these studies underestimated external impacts such as environmental factors. In particular, the wind has a great impact on the hoisting operation of the tower crane [27]. Tower cranes are typically operated at considerable heights; their slewing reducer has to support both the variable wind loads at those heights and the load results from the inertia of the system [28]. In addition, uncertain disturbances such as environmental wind always degrade the control performance of the crane system. Seoul, the research area, has the fastest wind speed in April and the slowest in October. This hosting time estimation model would be used for estimating the impact of wind [29]. In many countries, “wind speed of 20 m/s” is normally used as the maximum in-service wind speed for tower cranes. Therefore, the investigation of the proper wind speed for regulation would be helpful to secure the safety of tower crane operation under windy conditions [30].

To reduce the impact of environmental wind, many studies have focused on improving the design of control systems for tower cranes. Miranda-Colorado and Aguilar presented a methodology for designing controllers that attenuate the load swing angle in two-dimensional overhead crane systems with varying rope lengths [31]. El Ouni et al. proposed a smart tower crane equipped with pairs of collocated sensors and actuators to mitigate turbulent wind [32]. Sun et al. proposed an improved feedback controller with an elaborately constructed integral term [33]. Although many improvements have been made, our regulations and field safety management still require the most common regulations. This requirement means knowing exactly the wind speed that makes the tower crane stop working.

3. Methodology

The flexible cable pendulum system consists of a hoist, a sling, and a hanging. The mathematical model of the flexible cable pendulum system is difficult to establish because of its multi-degree-of-freedom, multiobjective, and multibody system. To facilitate our research, we assume that the swing component of the suspension movement of the cable is independent of the sling fluctuation component and that it obeys the superposition principle [34]. For the swing of the hanging, according to the different ways of representing the swinging angle, the swinging angle can be divided into the pendulum model [35], which represents the swinging angle with spherical coordinates, and the space ball model [36], which represents the swinging angle with internal and external angles.

Based on the motion characteristics of the cable crane flexible cable pendulum system, an absolute coordinate was built. The -axis points to the boom in the horizontal plane; the -axis points to the right side of the boom; and the -axis points straight down. The Oxyz coordinate system is established according to the movement track of the suspended object in the horizontal plane. In Oxyz, the X-axis coincides with straight line OA, and the direction close to the boom is set as positive. The Z-axis is still going straight down. As shown in Figure 1, when the angle between Ox and is , the coordinates and can be freely transformed by the following transformations:

As shown in Figure 1, the motion parameters of the hanging and its rope are set as follows: point A represents the head of the sling and oscillates at origin O; is the mass of the hanging. Based on the spherical coordinates established in the figure, is the length of the hanging rope; is the decomposed displacement of the hanging head in the X-axis direction; and is the displacement of the hanging head in the Z-axis direction. However, the rope of the cable crane is usually rigid, and we can ignore the displacement in the Z-axis direction.

3.1. Model of the Swing of Hanging

Since the movement of the hanging in the X-axis direction is only affected by the horizontal force, the displacement of the hanging head is proportional to the force exerted and always points to the equilibrium position. The motion state is the same as that in which the hanging is in simple harmonic motion. Therefore, assuming that the movement of the hanging head in the X-axis direction is simple harmonic motion, the displacement along the X-axis of the hanging head at t iswhere is the amplitude of simple harmonic motion, is the angular frequency of hanging head motion, and is the movement period of the hanging head.

Taking the second derivative of (2), the acceleration of point A is

According to the pendulum principle, the swing equation of the hanging is obtained aswhere is the damping coefficient, is the natural frequency of the pendulum, is the angle between the hanging rope and the vertical direction, , and is the acceleration of gravity.

Substituting the above formula into (4), we getwhere is the swing angle amplitude,

Taking the derivative of both sides of (5), the angular velocity of the swinging object can be obtained aswhere is the angular velocity amplitude and is the transfer function of the horizontal displacement of the lifting head in the X-axis direction on the swinging angular velocity of the hanging.

The additional tension value of the sling generated by the hanging head excited in the X-axis direction is

The wind force of the hanging in the X-axis direction iswhere is the wind pressure perpendicular to the direction of the airflow and is the surface area of the windward surface of the hanging.where is the air density and is the wind speed.

Therefore, according to the force analysis, the total tensile force of the sling is

The horizontal acceleration formula of the hanging is

3.2. Model of Sling Fluctuation

Let the horizontal displacement of each particle on the rope be .

As shown in Figure 2, the slope of the end of the sling can be represented by or , and is the angle between the sling tension and the negative direction of the Z-axis. According to Newton’s laws of motion, the sling fluctuation equation is deduced as

When is small, can be converted. Therefore, (13) can be transformed into

According to the analysis of the swinging phenomenon of the hanging, the characteristic solution of (14) can be deduced as

Here, is the amplitude, which depends on the situation; is the maximum swing amplitude of the hanging head here; and represents any integer, and this parameter can control the swing amplitude of the hanging.

Assuming that the sling is uniform, completely soft, and tensed in a straight line at equilibrium, we take the line as the Z-axis, and points on the sling are represented by points on the Z-axis. Suppose the sling undulates in a plane. The displacement of the sling point perpendicular to the Z-axis at time t is represented by . For small vibrations, the swinging angle of the hanging is very small. When there is an external force on the sling per unit length, the external force density is , and when its direction is perpendicular to the Z-axis, we can obtain the nonhomogeneous string vibration equation:where is the wind speed.

To ensure the uniqueness of the formula and its applicability in this case, the following mixed initial boundary conditions are set:

The initial conditions arewhere are the initial values of the sling that need to be determined according to the specific initial requirement.

The boundary conditions arewhere defines the function for the vibration source:where represents the acceleration of the hanging head; is the adjustment factor, which is related to the nature of the simple pendulum system and the motion environment; and is the boundary condition of the swing of the hanging derived from (15).

3.3. Algorithm Optimization

If the partial differential equation is solved according to the standard function, there are too many discrete points and the value is not stable. To meet the stability of the calculation, as well as speed it up, the implicit difference method of unconditional stability is used to solve the partial differential equation of the sling wave. The specific calculation method iswhere is the step ratio, is the time step, and is the spatial step. These represent the ratio of the length of the sling to the number of space intervals p;

, where is a discrete point; is the displacement of the point of the sling at time ; and is the external force density. For the sake of research, we assume that the string fluctuations have no resistance, and .

Our assumption of the initial conditions is

Based on discrete point displacement on the sling due to the swing of the hanging, according to the swing angle of the hanging, and the displacement coordinates of the discrete points in the coordinate system, can be calculated.

The mathematical model calculation process of the cable crane flexible cable pendulum system is represented according to Figure 3.

4. Case Study

The Crane Beach Hydropower Station is the second largest hydropower station in China after the Three Gorges Hydropower Station. The biggest challenge in building the Crane Beach Hydropower Station is frequent gales. According to the statistical analysis of Crane Beach’s wind rating measured for many years by the local meteorological department, the wind rating exceeds level 7 on approximately 241 days each year, and on many days the wind rating reaches level 10.

A Kestrel 5500 weather meter is used to measure local wind speeds in real time. The field measurement picture is shown in Figure 4. Then, we use the position detector of the tower crane to measure the distance of hanging. As long as the time interval is small enough, the acceleration we obtain can be approximated as the instantaneous acceleration at the current moment. Using this principle, we can compare the measured data with the calculated values to verify the feasibility of the model.

5. Case Parameter

The length of the on-site tower crane rope we used was 60 m, the weight of the hanging was 6850 kg, and the local air density was 1.293 kg/m3. When lifting the hanging, the tower crane can rise or fall at a speed of 3 m/s. The measured wind speeds and the corresponding movement distances of the object are shown in Table 1.

Wind speed (m/s)Run time (s)Run distance (m)The acceleration (m/)


6. Results

6.1. The Programming Calculation

By programming the flexible cable pendulum system model with MATLAB, the weight of the hoisting object was input to be 70000 kg, the length of the hoisting rope was 70 m, and the wind-facing surface area of the hoisting object was 5 m2, to obtain the fact that the force of the lifting rope varied with the wind speed. Then, the calculated data were imported into Origin 2018 to obtain Figure 5 of the change in the rope tension with wind speed.

The motion displacement diagram of the hanging in the flexible cable pendulum system with time is shown in Figure 6.

With the increase of wind speed, the horizontal impulse of the hanging increases is shown in Figure 7.

6.2. Model Validation

The data obtained from the above field experiment and the data derived from the model were tested by SPSS to verify the correctness of the model, and the results are as follows.(Table 24)

7. Discussion

Tower cranes are very complex mechanical systems that have been the subject of research investigations for several decades to reduce the swaying of the load, for example, wind load. Voisin et al. proposed an experimental method to study the behavior of tower cranes in strong winds and improved the design of the crane to reduce the crane overturning moments [37]. Eden et al. developed a method for selecting appropriate out-of-service design wind speeds for tower cranes [38]. In many countries, “wind speed of 20 m/s” is normally used as the maximum in-service wind speed for tower cranes. In China, the hoisting safety regulations stipulate that operations must be stopped if the wind exceeds level six; the level six wind speed is between 10.8 m/s and 13.8 m/s. Thus, the maximum in-service wind speed for tower cranes in China is 13.8 m/s. However, many projects were not stopped when wind speeds exceeded 13.8 m/s, and there were no safety incidents. Therefore, we need to explore the maximum wind speed allowed for tower crane construction, and the first step is to analyze the movement of cranes under wind loads.

First, the force on the rope as the wind speed changes is shown. It can be seen from Figure 5 that the force of the rope varies significantly with the wind speed and the tension of the rope is positively correlated with the wind speed. The higher the wind speed is, the steeper the trend of the rope tension is. This outcome means that the higher the wind speed is, the more difficult the rope is to control.

Second, the displacement of the crane over time when the wind speed is constant is represented. In Figure 6, the vertical direction is the displacement value of the hanging in the horizontal direction when the hanging is standing at the origin, the horizontal plane is the time value of 0–50 s, and the perpendicular distance is the vertical height of the hanging. Since the force exerted on the flexible cable pendulum system is constant when the wind speed is constant, the motion of the flexible cable pendulum can be simplified to simple harmonic motion, which can also be easily seen in the figure.

Third, the variation in lifting impulse when the wind speed changes is explored. As shown in Figure 7, with the increase in wind speed, the hanging impulse increases significantly, and the higher the wind speed is, the greater the hanging impulse increases.

Then, the feasibility of the model in reality is verified. Through SPSS comparative analysis, the results of the model calculation and field experiment are shown in Tables 24. Table 4 shows that t = 0.897. This value means that the model is 99 percent or more consistent with reality. The determination of this correlation can also verify the usability of the model in practical engineering. The correctness of the test indicates the applicability of the model.

AverageCase numberStandard deviationMean of standard error

Field experiment0.52908120.0059770.001725
Model calculation0.52933120.0063440.001831

Case numberCorrelationSignificance

Field experiment & model calculation120.9890.000

Paired differencetDegrees of freedomSig.
AverageStandard deviationMean of standard errorDifference 95% confidence interval
Lower limitCeiling

Field experiment & model calculation−0.0002500.0009650.000279−0.0008630.000363−0.897110.389

Wind scale5678910

Wind speed (m/s)8.0–10.710.8–13.813.9–17.117.2–20.720.8–24.424.5–28.4

When the hanging collides with a human body, the common collisions are as follows: the collision between the hanging and chest, the collision between the hanging and abdomen, and the collision between the hanging and legs. Since the volume of the hanging is generally larger, and the hanging and the ground generally maintain a distance, the collision between the hanging and legs is not considered [39]. Compared with the chest, the abdomen is more vulnerable to injury because the abdominal bone structure protects less abdominal viscera, and internal organs are more likely to deform in front and side impacts, resulting in vascular rupture and internal tissue damage [40]. The damage standard in China’s automobile collision protection regulations (GB 20071-2006) can also be applied here. The peak force on the chest should be less than or equal to 3.3 kN, and the force peak on the abdomen should be less than or equal to 2.5 kN. In addition, the force that an adult man can control is generally 2 kN [41]. Therefore, through these limits, we can find the wind speed suitable for tower crane construction. The relationship between the appropriate working wind speed and the hanging impulse is shown in Figure 8.

As shown in Figure 8, when the wind speed is more than 12 m/s, it has exceeded the maximum force controlled by ordinary auxiliary workers, while when the wind speed is more than 15 m/s, it has been determined that the collision will cause damage to auxiliary workers. Thus, the tower crane hoisting operation regulation in China (JGJ-276-2012) that states that tower crane operation must stop at a wind level greater than 6 (wind speed exceeding 10.8 m/s) is unwarranted, and the modified tower crane operation wind speed limit of 15 m/s in South Korea [30] at which work must stop is inaccurate based on investigating the shutdown of most construction sites in Seoul. Therefore, if the accuracy of construction is considered, when the wind speed is more than 12 m/s, the tower crane should stop working; when the wind speed is more than 17 m/s, construction must be stopped because it will cause injury to the auxiliary construction personnel.

Finally, the improvement method is proposed according to the hoisting operation regulations of China. In China, the different wind speeds are expressed in terms of the wind scale. According to the congruent relationship of wind scale and wind speed in Table 4, the regulations on hoisting operation safety in China could be modified as follows: (1) if lifting operations require high construction precision, the construction should be stopped when the wind force is more than level 6; (2) if the construction precision requirements for lifting operations are not so high, then when the wind force is more than level 8, operations must shut down.

8. Conclusions

The effects of the wind load on tower crane operation are investigated in this paper because wind speed limits are often mentioned in the tower crane work safety regulations and vary from country to country. However, it is not accurate to consider only the impact of wind load on the movement of the hanging. Considering the features of tower crane operation, a motion model of the flexible cable pendulum system under wind load is proposed. To sum up, the two primary contributions are as follows.

A simple harmonic motion-based flexible cable pendulum system model is proposed. The key point is to establish the motion model of the flexible pendulum and obtain the impulse change in the hanging with the change in wind speed. It is impractical to conduct field experiments on the motion of the hanging at each wind speed. Therefore, we used the Kestrel 5500 weather meter and positioning device to measure the data over a period of time to verify the feasibility of the model. The results of field experiments show that the flexible cable pendulum system model has a good effect.

The model of the flexible cable pendulum system includes the swing model of the hanging and the swing model of the sling fluctuation, and the model considers not only the change in wind speed but also the change in time from lifting to landing.

In considering the crane safety regulations of China and South Korea, the safety regulations of the two countries have obvious differences. By using the established model and the data obtained through programming calculation, the reasons for the differences between the two countries can be explained. The two specifications are from different perspectives, but both of them make sense.

In summary, the effect of the wind load is focused on the flexible cable pendulum system of the tower crane rather than on the hanging. It is a good way to superimpose the swing model of the hanging and the swing model of the sling fluctuation with the principle of superposition, so that the model of the flexible cable pendulum can simulate the operation of all kinds of tower cranes. However, the model can only simulate the impact when the wind speed changes at a certain time and cannot be expressed when the time and the wind speed change at the same time. Thus, although it can be used as a basis for some regulations, the results may differ from the actual situation. Conversely, the original intention of this study is to provide support for the formulation of regulations. However, using the flexible pendulum model based on string dynamic theory can also be used to evaluate the proposed regulations. Future research based on the proposed model can not only consider the risk of human collision but also explore the possibility of damage to equipment caused by collision.

The data obtained from field experiments can verify the applicability of this model. The model can well reflect the movement of the hanging under different wind speeds and the fluctuation patterns of the sling cables at different times, and it presents the limiting wind speed which can be used as a reference for the establishment of safe regulations and engineering management regulations. Thus, the proposed model is significant for management in the construction industry.

Data Availability

The data used to support the findings of this study are included within the article.

Conflicts of Interest

The authors declare that they have no conflicts of interest regarding the publication of this paper.

Authors’ Contributions

J. L. and L. H. were responsible for conceptualization; L. H., performed methodology; L. H., provided software; J. L., C. S., and Z. X., performed validation; J. L., performed investigation; C. S. and Z. X., provided resources; Z. X., performed data curation; L. H., wrote the original draft; L. H., performed review and editing; L. H., was responsible for visualization; J. L., supervised the study; C. S., performed project administration; and J. L. and C. S., were responsible for funding acquisition. All authors have read and agreed to the published version of the manuscript.


This research was funded by Open Fund of Hubei Key Laboratory of Construction and Management in Hydropower Engineering (China Three Gorges University) in 2019, grant no. 2019KSD05, and by National Natural Science Foundation of China, grant no. 51878385.


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