Causes, Risk Analysis, and Countermeasures of Urban Road Collapse in China from 2019 to 2020

Wang, Ke; Zhang, Jianwei; Gao, Guiqing; Qiu, Junling; Zhong, Yujian; Guo, Chunxia; Zhao, Wencai; Tang, Kunjie; Su, Xulin

doi:10.1061/(asce)cf.1943-5509.0001765

Cited by 21 publications

(4 citation statements)

References 6 publications

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“…Related studies on the influence of human factors on road collapse have mainly focused on vehicle loads [9,10], underground construction [11], etc., and have insufficient attention to management factors. Moreover, research on risk assessment of urban road collapse has a high degree of concentration on risk factor selection, focusing mainly on a few specific risk factors [12] and paying insufficient attention to the coupling effect among multiple risk factors, such as evaluating the probability of occurrence about urban road collapse based on pipeline ruptures [13][14][15], soil type [16] and rainfall [17], underground structures [18], etc. This type of approach analyzes in depth the influence mechanism of specific risk factors on road collapse accidents, but the coupling mechanism of multiple risk factors is not sufficiently explored.…”

Section: Introductionmentioning

confidence: 99%

“…The existing road collapse risk assessment model based on fuzzy comprehensive evaluation assumes that each risk factor is relatively independent, and insufficient consideration is given to the coupling relationship between each factor [7,[19][20][21][22][23][24][25]. The accuracy of road collapse risk assessment models based on the analytic hierarchy process [1,[26][27][28][29][30][31] and weighted arithmetic mean method [12,[32][33][34][35][36] heavily depends on the level of expert knowledge with high subjectivity. Consequently, the validation of the assessment results based on accident cases is difficult to realize, and it is still necessary to build a quantitative risk assessment model for urban road collapse accidents based on the coupling relationship between road collapse risk factors.…”

Section: Introductionmentioning

confidence: 99%

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An Integrated Model for Risk Assessment of Urban Road Collapse Based on China Accident Data

Zhang,

Qi,

Cheng

et al. 2024

Sustainability

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With the deepening development and utilization of urban underground space, the risk of urban road collapse is becoming increasingly prominent, which is a serious threat to the safety of life and property. Therefore, the risk assessment of urban road collapse has vital significance for the safety management of cities. The main idea is to predict ongoing accidents by analyzing historical accident cases in depth. This paper explores the combination of Interpretative Structural Modeling (ISM) and Bayesian Networks (BNs) to construct a risk assessment model of road collapse. First, the main risk factors of road collapse and their coupling relationships are identified, which is used to increase the low reliability of complex systems. Then, the risk factors of road collapse are logically divided by ISM to obtain the BN hierarchy. Finally, the BN node probabilities are evaluated by the Expectation–Maximization (EM) algorithm using the collected 92 real road collapse accident cases. The model can be used to quantify the coupling strength and influence degree of each risk factor on the occurrence of road collapse accidents, which in turn can predict the probability of road collapse accidents in a given scenario. This study can provide a theoretical basis for urban safety management and reduce the risk of road collapse and potential loss of life and property, which is important for the sustainable development of societies.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

An Integrated Model for Risk Assessment of Urban Road Collapse Based on China Accident Data

Zhang,

Qi,

Cheng

et al. 2024

Sustainability

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“…Root causes of RCAs mainly include excessive traffic loadings, pipeline seepage, deep evacuation projects, and underground hydrogeological changes, etc., which generate small cracks in underground soil and grow into large cavities upon the weakening of surrounding soil strength. [3,4] Hence, there is an urgent demand to accurately monitor the cavity initiation and expansion and establish an early warning system to reduce the property losses and casualties caused by RCAs.…”

Section: Introductionmentioning

confidence: 99%

Microchannel‐Confined Chinese Ink‐Based Highly Stretchable Liquid‐State Strain Sensor for Early Warning of Road Collapse

Chi,

Yao,

Zhu

et al. 2023

Adv Materials Technologies

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Stretchable strain sensors are widely used in the fields of wearable devices, soft robotics, healthcare monitoring, and more. Despite tremendous efforts, strain sensors capable of detecting large‐scale soil deformation for urban geological hazard prevention have not yet been demonstrated. In this paper, a soft strain sensor of a highly stretchable Ecoflex‐0030 elastomeric matrix with microchannel‐confined environmentally benign conductive Chinese ink as the liquid‐state strain‐sensitive material that can reliably detect a wide range of working strain up to 300% is demonstrated. The sensor exhibits a negligible hysteresis error of 2.1%, with a considerably good gauge factor of 1.95. The sensor performance is evaluated under both creep and cyclic loading tests, indicating superior stability (0.65% fluctuation), and repeatability (0.28% variation in 1000 cycles), even under a lower underground environment temperature of 18°C. As a proof‐of‐concept demonstration, a liquid‐state strain sensor array with a strain amplification mechanism capable of accurately monitoring the formation of various underground cavities and providing timely demanded information for early warning of catastrophic road collapse is demonstrated and verified by the computer vision‐based particle image velocimetry (PIV) method.

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“…Pipeline leakage can primarily disrupt soil stability by influencing groundwater. This disturbance has the potential to escalate into catastrophic events like ground collapse [1][2][3], posing significant risks to both human life and the economy [4].…”

Section: Introductionmentioning

confidence: 99%

Study on the Influence of Urban Water Supply Pipeline Leakage on the Scouring Failure Law of Cohesive Soil Subgrade

Mao,

Wang,

Zhang

et al. 2023

Water

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Urban water supply pipelines serve as vital lifelines for urban operations. However, the occurrence of underground pipeline leakage, caused by various factors, results in significant water loss and gives rise to safety hazards such as pavement collapse due to the erosive action of leaking water on the overlying soil. To conduct a more comprehensive investigation into the erosion characteristics of the leaking jet on the soil, this study employed a custom-built soil-test system to investigate the erosive effects of leakage from the water supply pipe network on the clay roadbed above. The study considered water flow rate, leakage port size, and leakage angle as influential factors. The experimental results demonstrated that reducing the water flow rate significantly enhances the soil’s erosion resistance. There is a positive correlation between the caliber of pipe leakage, pipe diameter, and the erosion rate of the soil cavity. Under identical conditions, the erosion rate of the specimen increased consistently with an increase in the leakage port angle. The study also investigated and summarized the curve depicting the formation of soil cavities. The aforementioned findings offer valuable insights for the implementation of reinforcement measures using fine-grained cohesive soil backfill in urban water supply pipelines.

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Causes, Risk Analysis, and Countermeasures of Urban Road Collapse in China from 2019 to 2020

Cited by 21 publications

References 6 publications

An Integrated Model for Risk Assessment of Urban Road Collapse Based on China Accident Data

An Integrated Model for Risk Assessment of Urban Road Collapse Based on China Accident Data

Microchannel‐Confined Chinese Ink‐Based Highly Stretchable Liquid‐State Strain Sensor for Early Warning of Road Collapse

Study on the Influence of Urban Water Supply Pipeline Leakage on the Scouring Failure Law of Cohesive Soil Subgrade

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