This paper proposes a new constitutive model for geotechnical materials that consists two basic constitutive functions, the free energy function and the dissipation rate function, within the framework of hyperplastic theory. This free energy function is capable of describing the pressure-dependent elastic behavior of soils. The new constructed dissipation rate function accounts for the frictional mechanism of energy dissipation. Based on this dissipation rate function, the non-associated flow rule can be obtained. Furthermore, the convexity of the yield surface that is derived from the dissipation rate function is proved. Predictions of the behavior of a soil sample using this new constitutive model agree well with triaxial test data under drained and undrained conditions.

This paper proposes a new constitutive model for geotechnical materials that consists two basic constitutive functions, the free energy function and the dissipation rate function, within the framework of hyperplastic theory. This free energy function is capable of describing the pressure-dependent elastic behavior of soils. The new constructed dissipation rate function accounts for the frictional mechanism of energy dissipation. Based on this dissipation rate function, the non-associated flow rule can be obtained. Furthermore, the convexity of the yield surface that is derived from the dissipation rate function is proved. Predictions of the behavior of a soil sample using this new constitutive model agree well with triaxial test data under drained and undrained conditions.

<em>A method of scenario computing is developed for modeling systems with deep uncertainty</em>. The method consists three complementary parts: hybrid modelling, diverse computing, and interactive validation. Hybrid modelling is to dynamically develop models with merging historical knowledges and observed information. Diversity computation is to simulate multiple plausible scenarios about system future. Interactive validation helps scenario computing process being on the right way instead of deviating. Two cases are provided in this paper applying scenario computing, one is earthquake and the other is driving and transportation. The results show good performance of scenario computing method in modeling uncertainty systems.

A method of scenario computing is developed for modeling systems with deep uncertainty. The method consists three complementary parts: hybrid modelling, diverse computing, and interactive validation. Hybrid modelling is to dynamically develop models with merging historical knowledges and observed information. Diversity computation is to simulate multiple plausible scenarios about system future. Interactive validation helps scenario computing process being on the right way instead of deviating. Two cases are provided in this paper applying scenario computing, one is earthquake and the other is driving and transportation. The results show good performance of scenario computing method in modeling uncertainty systems. © 2018, The Editorial Board of Journal of System Simulation. All right reserved.

社区是公共安全治理的基本单元,社区安全研究意义重大.该文面向社区风险防范的重大需求,首先,从人、物及管理3个角度厘清社区风险的来源,剖析社区风险的特性及原因;然后,阐述社区风险防范的内涵,提出监测监控,预测预警和智能防范是社区风险防范的关键技术,在综合分析当前风险防范研究现状及发展趋势的基础上,指出大数据平台是社区风险防范的基础支撑;最后,分别从功能、结构及构建流程3个层面展开面向社区风险防范大数据平台的理论架构设计.为社区风险防范及大数据平台的基础理论研究大数据平台搭建及风险防范提供理论和技术支撑.

This paper proposes a new constitutive model for geotechnical materials that consists two basic constitutive functions, the free energy function and the dissipation rate function, within the framework of hyperplastic theory. This free energy function is capable of describing the pressure-dependent elastic behavior of soils. The new constructed dissipation rate function accounts for the frictional mechanism of energy dissipation. Based on this dissipation rate function, the non-associated flow rule can be obtained. Furthermore, the convexity of the yield surface that is derived from the dissipation rate function is proved. Predictions of the behavior of a soil sample using this new constitutive model agree well with triaxial test data under drained and undrained conditions.

社区是公共安全治理的基本单元,社区安全研究意义重大.该文面向社区风险防范的重大需求,首先,从人、物及管理3个角度厘清社区风险的来源,剖析社区风险的特性及原因;然后,阐述社区风险防范的内涵,提出监测监控,预测预警和智能防范是社区风险防范的关键技术,在综合分析当前风险防范研究现状及发展趋势的基础上,指出大数据平台是社区风险防范的基础支撑;最后,分别从功能、结构及构建流程3个层面展开面向社区风险防范大数据平台的理论架构设计.为社区风险防范及大数据平台的基础理论研究大数据平台搭建及风险防范提供理论和技术支撑.

提出了一种面向深度不确定系统的情景计算方法,该方法由三部分组成:混合建模、多样性计算、交互验证。混合建模是基于已有模型和相关数据,实现快速高效的动态建模;多样性计算指通过大规模计算实现对系统多样化演化的分析和预测;交互验证是基于人工计算系统与真实客观系统之间的交互验证保障情景计算结果的有效和可靠。给出了地震波经过建筑物后的传播与叠加效应计算和交通与驾驶行为计算两个算例,分析了情景计算方法对不确定系统仿真计算的有效性与应用前景。