摘要：基于北京地区21个深基坑的实测资料,得出了开挖深度为12～20m的深基坑的变形规律。通过对数据的选取与分析,提出最大侧移的位置、最大侧移值与最大沉降值的范围,宽深比、宽度一侧的墙体面积与最大水平位移关系(考虑深度),并与上海地区经验统计数据作了比较。这些结论可为北京及周边地区深基坑的设计与施工提供借鉴。

摘要：选取S301部分路段盐渍土为研究对象,为研究其基本性质,取不同深度的盐渍土进行试验,通过对盐渍土试样的室内试验,结果表明:S301沿线盐渍土种类较多,无明显规律,盐渍土种类有氯盐渍土、亚氯盐渍土和亚硫酸盐渍土;盐渍土在洗盐后会随着易溶盐含量的减少其塑性指数增加;由室内击实试验结果得出,盐渍土的含水率变化时,土体的最大干密度的变化较敏感。

摘要：以天然硫酸盐渍土为研究对象,对天然硫酸盐渍土进行了室内研究,试验在冻融循环条件下进行,试验结果显示,天然硫酸盐渍土的盐-冻胀量随着冻融循环次数及含水率的增加而增大;相同含水率时,盐-冻胀量随干密度的增加盐-冻胀率相差并不大,含水率更能影响土样的盐-冻胀性;硫酸盐渍土在第3次冻融循环时表现出最大的盐-冻胀增量。

摘要：为了研究天然强氯盐渍土的盐—冻胀力规律,采用冻融循环的方法,取不同含水率不同干密度的土样进行冻融循环试验,研究盐—冻胀力随含水率和干密度变化的规律。试验结果表明:累加的盐—冻胀力伴随着冻融循环次数的递增而逐渐增大;在含水率相同的试验条件下,随着土样干密度的增大土样的累加盐—冻胀力增加。在同一干密度的试验情况下,土试样的含水率为最佳含水率时,土样的累加盐—冻胀力到达峰值;干密度对盐—冻胀力的影响更为显著。

摘要：以罗布泊湖积平原区的盐渍土为研究对象,分别从影响盐渍土盐冻胀的各因素-冻融循环次数、干密度、含水率等方面进行试验研究。结果表明:含水率为10%、13%的土样在第3次冻融循环时有最大的盐-冻胀增量;含水率为16%的土样则在第6次冻融时表现出盐-冻胀增量峰值。不同含水率、不同干密度的土样经多次冻融循环作用,土样的累加盐冻胀力随冻融循环次数的增加而递增;相同干密度情况下,土样的含水率为最优含水率时,其累加盐-冻胀力达到峰值;当土样含水率较小时,土样的累加盐-冻胀力随含水率的增大而增加;当含水率超出土样的最优含水率后,随含水率的增大其累加盐-冻胀力减小。

摘要：Materials informatics has emerged as a promisingly new paradigm for accelerating materials discovery and *** exploits the intelligent power of machine learning methods in massive materials data from experiments or simulations to seek new materials,functionality,and principles,*** specialized facilities to generate,collect,manage,learn,and mine large-scale materials data is crucial to materials *** herein developed an artificial-intelligence-aided data-driven infrastructure named Jilin Artificial-intelligence aided Materials-design Integrated Package(JAMIP),which is an open-source Python framework to meet the research requirements of computational materials *** is integrated by materials production factory,high-throughput first-principles calculations engine,automatic tasks submission and monitoring progress,data extraction,management and storage system,and artificial intelligence machine learning based data mining *** have integrated specific features such as an inorganic crystal structure prototype database to facilitate high-throughput calculations and essential modules associated with machine learning studies of functional *** demonstrated how our developed code is useful in exploring materials informatics of optoelectronic semiconductors by taking halide perovskites as typical *** obeying the principles of automation,extensibility,reliability,and intelligence,the JAMIP code is a promisingly powerful tool contributing to the fast-growing field of computational materials informatics.