Since the corrosion defects in gas pipelines have similar corrosion characteristics to the surrounding soil,the random growth of these defects may be correlated,so we can not simply treat the corrosion defects as comp...Since the corrosion defects in gas pipelines have similar corrosion characteristics to the surrounding soil,the random growth of these defects may be correlated,so we can not simply treat the corrosion defects as completely correlated or independent.Therefore,this paper proposes a method that can accurately calculate the failure probability of the pipeline system considering the correlation of corrosion defects:using MATLAB software to fit the parameters of the GEV model to select an appropriate distribution model;using Monte Carlo simulation(MC),considering different correlation coefficients and quantities,the system failure probability of pipeline corrosion defects is calculated;the results show that the system failure probability of the pipeline and the correlation coefficient are basically linear;when the correlation coefficient is increasing,the pipeline is regarded as an independent.There is a large error between the calculated failure probability of the series system and the actual result;the system failure probability of the pipeline increases with the increase of the assumed number of corrosion defects.When the correlation coefficient is greater than or equal to 0.6,the system failure probability of the pipeline increases significantly.An increase and the system failure probability of the pipeline decreases significantly.展开更多
Structural damages during an earthquake are typically controlled by seismic demands,which are represented by the combination of amplitude of ground motion and cyclic load effects.Since traditional methods normally ass...Structural damages during an earthquake are typically controlled by seismic demands,which are represented by the combination of amplitude of ground motion and cyclic load effects.Since traditional methods normally assume the lognormal distributions of seismic demands and resistance parameters,uncertainties are inevitably induced in the seismic fragility analysis.In this paper,the Copula function and adaptive bandwidth kernel density estimation method(ABKDE)are used to establish a novel multidimensional seismic fragility analysis framework.Based on the results of incremental dynamic analysis for subway station structures,ABKDE is adopted to establish single-parameter seismic fragility curves for both the maximum inter-story drift ratio(MIDR)and cumulated dissipated hysteretic energy(CDHE),respectively.Subsequently,the Copula function is used to formulate a bivariate seismic fragility function considering the correlations among seismic demand measures and establish the corresponding fragility curves.Finally,comparative analyses are conducted to evaluate seismic fragility curves using Copula-based dual and single-parameter damage models as well as the traditional damage models.It is found that the seismic fragility analysis method using the Copula function has the ability to gain a comprehensive consideration of the MIDR and CDHE during the damage process of subway station structures.Moreover,this newly developed seismic fragility analysis framework can capture the influence of the correlation between deformation and energy under various peak ground accelerations on structural damage.Thus,this framework can provide a scientific basis for predicting structural damage in subway stations subjected to varying intensities of ground motion while considering multiple damage indicators.展开更多
为探究高温干旱复合胁迫对夏玉米产量的影响,本文基于河南省91个气象站1991—2020年逐日最高气温、逐日降水量和逐年产量数据,识别逐年花期高温强度、干旱强度和减产率,利用藤Copula函数构建高温强度、干旱强度和减产率的三维联合累积...为探究高温干旱复合胁迫对夏玉米产量的影响,本文基于河南省91个气象站1991—2020年逐日最高气温、逐日降水量和逐年产量数据,识别逐年花期高温强度、干旱强度和减产率,利用藤Copula函数构建高温强度、干旱强度和减产率的三维联合累积概率分布函数,分析花期高温干旱复合胁迫对夏玉米产量的影响。结果表明,对河南夏玉米花期高温强度、干旱强度和减产率分别进行边际分布拟合时,最优边际分布函数均为广义极值分布(generalized extreme value distribution,GEV),R2分别为0.99、0.99和0.93。利用最优Copula函数对各变量进行二维联合,拟合出的理论概率与实际的经验概率均接近,拟合精度较高。总体上随着胁迫强度的增加,花期高温干旱复合胁迫造成河南夏玉米减产的概率增加,主要以重度和中度减产概率的增加为主。花期高温干旱复合胁迫下,夏玉米产量波动对干旱的敏感性要高于高温。研究结果有助于决策者和种植户更好地了解高温干旱复合事件对河南省夏玉米产量的潜在影响,对降低生产风险具有重要意义。展开更多
摘要Since the corrosion defects in gas pipelines have similar corrosion characteristics to the surrounding soil,the random growth of these defects may be correlated,so we can not simply treat the corrosion defects as completely correlated or independent.Therefore,this paper proposes a method that can accurately calculate the failure probability of the pipeline system considering the correlation of corrosion defects:using MATLAB software to fit the parameters of the GEV model to select an appropriate distribution model;using Monte Carlo simulation(MC),considering different correlation coefficients and quantities,the system failure probability of pipeline corrosion defects is calculated;the results show that the system failure probability of the pipeline and the correlation coefficient are basically linear;when the correlation coefficient is increasing,the pipeline is regarded as an independent.There is a large error between the calculated failure probability of the series system and the actual result;the system failure probability of the pipeline increases with the increase of the assumed number of corrosion defects.When the correlation coefficient is greater than or equal to 0.6,the system failure probability of the pipeline increases significantly.An increase and the system failure probability of the pipeline decreases significantly.
基金supported by the National Natural Science Foundation of China(Grant Nos.52178315,and 51578100)the Fundamental Research Funds for the Central Universities(Grant No.3132023504)+1 种基金the Dalian Science and Technology Innovation Fund(Grant No.2022JJ12GX031)the Project of Shenyang Key Laboratory of Safety Evaluation and Disaster Prevention of Engineering Structures(Grant No.S230184).
摘要Structural damages during an earthquake are typically controlled by seismic demands,which are represented by the combination of amplitude of ground motion and cyclic load effects.Since traditional methods normally assume the lognormal distributions of seismic demands and resistance parameters,uncertainties are inevitably induced in the seismic fragility analysis.In this paper,the Copula function and adaptive bandwidth kernel density estimation method(ABKDE)are used to establish a novel multidimensional seismic fragility analysis framework.Based on the results of incremental dynamic analysis for subway station structures,ABKDE is adopted to establish single-parameter seismic fragility curves for both the maximum inter-story drift ratio(MIDR)and cumulated dissipated hysteretic energy(CDHE),respectively.Subsequently,the Copula function is used to formulate a bivariate seismic fragility function considering the correlations among seismic demand measures and establish the corresponding fragility curves.Finally,comparative analyses are conducted to evaluate seismic fragility curves using Copula-based dual and single-parameter damage models as well as the traditional damage models.It is found that the seismic fragility analysis method using the Copula function has the ability to gain a comprehensive consideration of the MIDR and CDHE during the damage process of subway station structures.Moreover,this newly developed seismic fragility analysis framework can capture the influence of the correlation between deformation and energy under various peak ground accelerations on structural damage.Thus,this framework can provide a scientific basis for predicting structural damage in subway stations subjected to varying intensities of ground motion while considering multiple damage indicators.
摘要为探究高温干旱复合胁迫对夏玉米产量的影响,本文基于河南省91个气象站1991—2020年逐日最高气温、逐日降水量和逐年产量数据,识别逐年花期高温强度、干旱强度和减产率,利用藤Copula函数构建高温强度、干旱强度和减产率的三维联合累积概率分布函数,分析花期高温干旱复合胁迫对夏玉米产量的影响。结果表明,对河南夏玉米花期高温强度、干旱强度和减产率分别进行边际分布拟合时,最优边际分布函数均为广义极值分布(generalized extreme value distribution,GEV),R2分别为0.99、0.99和0.93。利用最优Copula函数对各变量进行二维联合,拟合出的理论概率与实际的经验概率均接近,拟合精度较高。总体上随着胁迫强度的增加,花期高温干旱复合胁迫造成河南夏玉米减产的概率增加,主要以重度和中度减产概率的增加为主。花期高温干旱复合胁迫下,夏玉米产量波动对干旱的敏感性要高于高温。研究结果有助于决策者和种植户更好地了解高温干旱复合事件对河南省夏玉米产量的潜在影响,对降低生产风险具有重要意义。