Understanding the joint effects of earthquakes and driving factors on the spatial distribution of landslides is helpful for targeted disaster prevention and mitigation in earthquake-prone areas.By far,little work has ...Understanding the joint effects of earthquakes and driving factors on the spatial distribution of landslides is helpful for targeted disaster prevention and mitigation in earthquake-prone areas.By far,little work has been done on this issue.This study analyzed the co-seismic landslide of the Ms8.0 Wenchuan earthquake in 2008 and 2014.The joint effects and spatiotemporal characteristics of the driving factors in seismic regions were revealed.Results show that(a)between 2008 and 2014,the dominant driving-factor for landslides has changed from earthquake to rock mass;(b)driving factors with weak driving force have a significant enhancement under the joint effects of other factors;(c)the joint effects of driving factors and earthquake decays with time.The study concluded that the strong vibration of the Wenchuan earthquake and the rock mass strength are the biggest contributors to the spatial distribution of landslides in 2008 and 2014,respectively.It means that the driving force of the earthquake is weaker than that of the rock mass after six years of the Wenchuan earthquake.Moreover,the landslide spatial distribution can be attributed to the joint effects of the Wenchuan earthquake and driving factors,and the earthquake has an enhanced effect on other factors.展开更多
The objective of the current study is to propose an expert system framework based on a supervised machine learning technique(MLT)to predict the seismic performance of low-to mid-rise frame structures considering soil-...The objective of the current study is to propose an expert system framework based on a supervised machine learning technique(MLT)to predict the seismic performance of low-to mid-rise frame structures considering soil-structure interaction(SSI).The methodology of the framework is based on examining different MLTs to obtain the highest possible accuracy for prediction.Within the MLT,a sensitivity analysis was conducted on the main SSI parameters to select the most effective input parameters.Multiple limit state criteria were used for the seismic evaluation within the process.A new global seismic assessment ratio was introduced that considers both serviceability and strength aspects by utilizing three different engineering demand parameters(EDPs).The proposed framework is novel because it enables the designer to seismically assess the structure,while simultaneously considering different EDPs and multiple limit states.Moreover,the framework provides recommendations for building component design based on the newly introduced global seismic assessment ratio,which considers different levels of seismic hazards.The proposed framework was validated through comparison using non-linear time history(NLTH)analysis.The results show that the proposed framework provides more accurate results than conventional methods.Finally,the generalization potential of the proposed framework was tested by investigating two different types of structural irregularities,namely,stiffness and mass irregularities.The results from the framework were in good agreement with the NLTH analysis results for the selected case studies,and peak ground acceleration(PGA)was found to be the most influential input parameter in the assessment process for the case study models investigated.The proposed framework shows high generalization potential for low-to mid-rise structures.展开更多
基金funded by the National Natural Science Foundation of China(No.42071375)the National Key Research and Development Program of China(No.2018YFC1504703-3)。
文摘Understanding the joint effects of earthquakes and driving factors on the spatial distribution of landslides is helpful for targeted disaster prevention and mitigation in earthquake-prone areas.By far,little work has been done on this issue.This study analyzed the co-seismic landslide of the Ms8.0 Wenchuan earthquake in 2008 and 2014.The joint effects and spatiotemporal characteristics of the driving factors in seismic regions were revealed.Results show that(a)between 2008 and 2014,the dominant driving-factor for landslides has changed from earthquake to rock mass;(b)driving factors with weak driving force have a significant enhancement under the joint effects of other factors;(c)the joint effects of driving factors and earthquake decays with time.The study concluded that the strong vibration of the Wenchuan earthquake and the rock mass strength are the biggest contributors to the spatial distribution of landslides in 2008 and 2014,respectively.It means that the driving force of the earthquake is weaker than that of the rock mass after six years of the Wenchuan earthquake.Moreover,the landslide spatial distribution can be attributed to the joint effects of the Wenchuan earthquake and driving factors,and the earthquake has an enhanced effect on other factors.
基金supported by a National Research Foundation of Korea(NRF)grant funded by the Korean government(MSIT)(No.2021R1A2C2006631).
文摘The objective of the current study is to propose an expert system framework based on a supervised machine learning technique(MLT)to predict the seismic performance of low-to mid-rise frame structures considering soil-structure interaction(SSI).The methodology of the framework is based on examining different MLTs to obtain the highest possible accuracy for prediction.Within the MLT,a sensitivity analysis was conducted on the main SSI parameters to select the most effective input parameters.Multiple limit state criteria were used for the seismic evaluation within the process.A new global seismic assessment ratio was introduced that considers both serviceability and strength aspects by utilizing three different engineering demand parameters(EDPs).The proposed framework is novel because it enables the designer to seismically assess the structure,while simultaneously considering different EDPs and multiple limit states.Moreover,the framework provides recommendations for building component design based on the newly introduced global seismic assessment ratio,which considers different levels of seismic hazards.The proposed framework was validated through comparison using non-linear time history(NLTH)analysis.The results show that the proposed framework provides more accurate results than conventional methods.Finally,the generalization potential of the proposed framework was tested by investigating two different types of structural irregularities,namely,stiffness and mass irregularities.The results from the framework were in good agreement with the NLTH analysis results for the selected case studies,and peak ground acceleration(PGA)was found to be the most influential input parameter in the assessment process for the case study models investigated.The proposed framework shows high generalization potential for low-to mid-rise structures.
