大直径钢管砼中核心砼轴压本构关系研究

对现有的钢管砼中核心砼的本构模型进行了数值分析;通过不同直径试件的轴压试验,分析了直径大小对模型的影响,得到了适合于大直径钢管砼的核心砼本构关系.     

A Multiple Nested Lattice Boltzmann Method and Its Application

Introduction In recent years,the lattice Boltzmann method(LBM)has developed into an alternative andpromising numerical scheme for simulating hydro-dynamic and aerodynamic flow[1].The success ofthe LBM can be partly attributed to the particle-based approach which is directly inherited from itspredecessor,the lattice gas automata(LGA)[1,2],unlike LGA,the LBM simulates a flow system bytracking the evolution of particle distributions in-stead of tracking single particles.For this reason,it o…     

车辆荷载下生石灰改良过湿土硬壳层作用效应研究

依托吉舒高速公路工程,基于多层弹性体系理论,分析了生石灰改良过湿土硬壳层对路基路面力学响应的影响规律,结果表明:在硬壳层作用下,路基顶面的竖向压应力减小,竖向压应力分布趋于平缓;随着硬壳层厚度与模量的增加,路基的强度提高,路表弯沉值与基层底弯拉应力减小,硬壳层厚度与模量持续增加,对降低层底弯拉应力的贡献量越来越小。经综合分析,给出硬壳层厚度的推荐范围20～60 cm,模量的推荐范围200～400MPa。     

轿车铝合金发动机罩板的轻量化设计与可制造性分析

为了将铝合金零件的综合力学性能纳入初始设计范畴,提出了一套结构优化设计方法。通过建立某款轿车发动机罩板的有限元模型,选择铝合金材料替换原有钢材料,以罩板综合性能为约束,结合优化设计方法,考虑板材的成形性因素,基于原始钢结构空间布局进行全新设计。结果表明:铝合金罩板在满足结构性能要求和可制造性的前提下可实现减轻质量47.1%,为初始设计阶段的铝合金罩板轻量化设计提供了一套可借鉴的方法。     

公路预应力混凝土曲线梁桥设计问题探讨

针对公路预应力混凝土梁桥,在简单介绍公路预应力混凝土曲线梁桥发展与结构受力特点的基础上,对曲线桥梁设计重点问题,如基本尺寸拟定、分孔、支座布置重点进行深入分析,以此为保证曲线桥梁设计质量,使曲线桥梁施工顺利完成,并发挥理想作用效果提供可靠的理论依据。     

不同改良方案下膨胀土路基物理力学特性

某中型桥梁修建于膨胀土填土基础上,针对锥坡和台背填土路面开裂病害,剖析病害原因,提出处治方案:分别以水泥、钢渣粉和氢氧化钠激发剂作为复合改良材料,进行多种干湿循环条件下膨胀土改良试验以验证其变形及力学特性;通过无侧限抗压强度试验、三轴压缩试验以及体积变化率试验,结合微观电子扫描显微镜分析方法,对试验结果进行对比.得出结...     

再生骨料制备透水水泥混凝土性能研究

基于节能生态道路的设计理念,研究了以再生骨料为集料的透水水泥混凝土的力学性能和透水性能.采用正交试验研究水胶比、聚丙烯纤维、颜料、矿渣4个因素对透水水泥混凝土性能的影响,并引入功效系数法进行分析.结果表明:水胶比对再生骨料透水水泥混凝土的性能影响最大,其次为聚丙烯纤维;水胶比提高,其力学强度和透水性能均下降;提高聚丙烯纤维掺量可以改善其力学强度,但降低了透水性能;颜料对其性能影响不显著;矿渣掺量增大,其抗压强度和透水性能均提高.配合比设计合理,再生骨料透水水泥混凝土能够满足轻级交通道路的力学要求和透水功能.     

表面能理论评价沥青与石料抗水毁性能的研究

目前关于评价沥青与石料粘附性的理论大多数计算麻烦,仅适用于做定性分析。本文根据表面能理论建立有水条件下沥青与集料粘附模型,通过粘附模型计算了2种沥青与3种石料有水条件下的粘附功、内聚功并以此来评价沥青与集料界面的抗水毁性能;并通过水煮3 min质量剥落率试验来验证用表面能理论来评价沥青与石料抗水毁性能的可行性。结果表明：水煮3 min质量剥落率与表面能理论计算的粘附功、内聚功等指标保持很好的规律性;说明将表面能理论作为一种定量评价沥青与石料抗水毁性能的标准和方法是可行的。     

Robust expected violation criterion for constrained robust design problems and its application in automotive lightweight design

Metamodeling techniques are commonly used to replace expensive computer simulations in robust design problems. Due to the discrepancy between the simulation model and metamodel, a robust solution in the infeasible region can be found according to the prediction error in constraint responses. In deterministic optimizations, balancing the predicted constraint and metamodeling uncertainty, expected violation (EV) criterion can be used to explore the design space and add samples to adaptively improve the fitting accuracy of the constraint boundary. However in robust design problems, the predicted error of a robust design constraint cannot be represented by the metamodel prediction uncertainty directly. The conventional EV-based sequential sampling method cannot be used in robust design problems. In this paper, by investigating the effect of metamodeling uncertainty on the robust design responses, an extended robust expected violation (REV) function is proposed to improve the prediction accuracy of the robust design constraints. To validate the benefits of the proposed method, a crashworthiness-based lightweight design example, i.e. a highly nonlinear constrained robust design problem, is given. Results show that the proposed method can mitigate the prediction error in robust constraints and ensure the feasibility of the robust solution.