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作 者:李治斌 苏安双 张晓东 刘利骄 刘春龙 丁琳[1] 徐凡林 李震威 LI Zhibin;SU Anshuang;ZHANG Xiaodong;LIU Lijiao;LIU Chunlong;DING Lin;XU Fanlin;LI Zhenwei(School of Civil Engineering and Architecture,Heilongjiang University,Harbin 150080,China;Heilongjiang Province Hydraulic Research Institute,Harbin 150078,China;Heilongjiang Longye Water Conservancy and Hydropower Engineering Construction Co.,Ltd.,Harbin 150080,China;Suihua Water and Soil Conservation and Water Conservancy Engineering Quality Monitoring Center,Suihua 152000,China)
机构地区:[1]黑龙江大学建筑工程学院,哈尔滨150080 [2]黑龙江省水利科学研究院,哈尔滨150078 [3]黑龙江省隆业水利水电工程建设有限公司,哈尔滨150080 [4]绥化市水土保持和水利工程质量监测中心,黑龙江绥化152000
出 处:《森林工程》2023年第2期139-147,共9页Forest Engineering
基 金:国家自然科学基金资助项目(41071049);冻土工程国家重点实验室开放基金资助项目(SKLFSE201802;SKLFSE201919);黑龙江大学研究生创新科研项目(YJSCX2022-237HLJU)。
摘 要:为探究冻融循环作用对固化盐渍土抗压性能的影响,考虑冻融循环次数、压实度和含水率作为影响因素,对二灰固化盐渍土进行无侧限抗压试验,并建立二灰固化盐渍土的损伤模型。结果表明,冻融前后二灰固化盐渍土的应力-应变曲线均为应变软化型;固化土的抗压强度和弹性模量在第1次冻融循环后降幅最大,此后趋于稳定;含水率低和土体压实度高的试样受冻融作用的影响小;土的含水率、压实度和冻融循环次数与抗压强度间存在非线性关系;建立的损伤模型可较好地表达土体应力变化趋势;基于神经网络建立的三参数二灰固化盐渍土损伤模型具有精度较好及使用方便的特点。In order to explore the influence of freeze-thaw cycles on the compressive performance of solidified saline soil,unconfined compression tests were carried out on the lime-ash cured saline soil,considering the number of freeze-thaw cycles,compaction degree and water content as influencing factors,and a damage model of lime-ash cured saline soil was established.The results showed that the stress-strain curves of lime-ash cured saline soil before and after freezing-thawing were strain softening.The compressive strength and elastic modulus of solidified soil decreased the most after the first freeze-thaw cycle,and then tended to be stable.The samples with low water content and high soil compaction degree were less affected by freeze-thaw action.There was a nonlinear relationship between soil water content,compaction degree and number of freeze-thaw cycles and compressive strength.The damage model can well express the stress variation trend of soil.The damage model of three-parameter and lime-ash cured saline soil based on neural network had the characteristics of good accuracy and convenience.
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