The objective is to develop an approach for the determination of the target reliability index for serviceability limit state(SLS) of single piles. This contributes to conducting the SLS reliability-based design(RBD) o...The objective is to develop an approach for the determination of the target reliability index for serviceability limit state(SLS) of single piles. This contributes to conducting the SLS reliability-based design(RBD) of piles. Based on a two-parameter,hyperbolic curve-fitting equation describing the load-settlement relation of piles, the SLS model factor is defined. Then, taking into account the uncertainties of load-settlement model, load and bearing capacity of piles, the formula for computing the SLS reliability index(βsls) is obtained using the mean value first order second moment(MVFOSM) method. Meanwhile, the limit state function for conducting the SLS reliability analysis by the Monte Carlo simulation(MCS) method is established. These two methods are finally applied to determine the SLS target reliability index. Herein, the limiting tolerable settlement(slt) is treated as a random variable. For illustration, four load test databases from South Africa are compiled again to conduct reliability analysis and present the recommended target reliability indices. The results indicate that the MVFOSM method overestimates βsls compared to that computed by the MCS method. Besides, both factor of safety(FS) and slt are key factors influencing βsls, so the combination of FS and βsls is welcome to be used for the SLS reliability analysis of piles when slt is determined. For smaller slt, pile types and soils conditions have significant influence on the SLS target reliability indices; for larger slt, slt is the major factor having influence on the SLS target reliability indices. This proves that slt is the most key parameter for the determination of the SLS target reliability index.展开更多
目的构建住院康复治疗结果与康复效果影响因素的关系模型,探索住院康复效果评价方法。方法采用人工神经网络模型构建住院康复治疗结果与康复效果影响因素间的关系模型,通过评价确定的预测精度相对最高的康复治疗结果与影响因素的关系模...目的构建住院康复治疗结果与康复效果影响因素的关系模型,探索住院康复效果评价方法。方法采用人工神经网络模型构建住院康复治疗结果与康复效果影响因素间的关系模型,通过评价确定的预测精度相对最高的康复治疗结果与影响因素的关系模型预测接受住院治疗患者的预期康复结果。通过比较实际出院国际功能、残疾和功能分类(Inter-national Classification of Functioning,Disability and Health,ICF)总分和预测的ICF总分差值的分布,判断住院康复治疗的效果。结果对纳入的1334例脑损伤患者住院康复病案进行分析,结合预测精度评价指标及其标准选取最优模型,根据最优模型预测结果进行康复效果评价。结论基于ICF-RS-17测量获得的患者出入院功能得分、住院康复患者自身功能状态及相关影响因素,构建住院康复治疗结果与影响因素的关系模型,为临床实际康复效果建立有效的评价手段提供科学依据,也为康复医保实现按价值支付提供参考。展开更多
基金Projects(51278216,51308241)supported by the National Natural Science Foundation of ChinaProject(2013BS010)supported by the Funds of Henan University of Technology for High-level Talents,China
文摘The objective is to develop an approach for the determination of the target reliability index for serviceability limit state(SLS) of single piles. This contributes to conducting the SLS reliability-based design(RBD) of piles. Based on a two-parameter,hyperbolic curve-fitting equation describing the load-settlement relation of piles, the SLS model factor is defined. Then, taking into account the uncertainties of load-settlement model, load and bearing capacity of piles, the formula for computing the SLS reliability index(βsls) is obtained using the mean value first order second moment(MVFOSM) method. Meanwhile, the limit state function for conducting the SLS reliability analysis by the Monte Carlo simulation(MCS) method is established. These two methods are finally applied to determine the SLS target reliability index. Herein, the limiting tolerable settlement(slt) is treated as a random variable. For illustration, four load test databases from South Africa are compiled again to conduct reliability analysis and present the recommended target reliability indices. The results indicate that the MVFOSM method overestimates βsls compared to that computed by the MCS method. Besides, both factor of safety(FS) and slt are key factors influencing βsls, so the combination of FS and βsls is welcome to be used for the SLS reliability analysis of piles when slt is determined. For smaller slt, pile types and soils conditions have significant influence on the SLS target reliability indices; for larger slt, slt is the major factor having influence on the SLS target reliability indices. This proves that slt is the most key parameter for the determination of the SLS target reliability index.
文摘目的构建住院康复治疗结果与康复效果影响因素的关系模型,探索住院康复效果评价方法。方法采用人工神经网络模型构建住院康复治疗结果与康复效果影响因素间的关系模型,通过评价确定的预测精度相对最高的康复治疗结果与影响因素的关系模型预测接受住院治疗患者的预期康复结果。通过比较实际出院国际功能、残疾和功能分类(Inter-national Classification of Functioning,Disability and Health,ICF)总分和预测的ICF总分差值的分布,判断住院康复治疗的效果。结果对纳入的1334例脑损伤患者住院康复病案进行分析,结合预测精度评价指标及其标准选取最优模型,根据最优模型预测结果进行康复效果评价。结论基于ICF-RS-17测量获得的患者出入院功能得分、住院康复患者自身功能状态及相关影响因素,构建住院康复治疗结果与影响因素的关系模型,为临床实际康复效果建立有效的评价手段提供科学依据,也为康复医保实现按价值支付提供参考。
