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Volume 54 Issue 2
Jun.  2019
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Journal of Southwest Jiaotong University  > 2019  >  54(2): 235-248.
PAN Yi, WANG Zhongkai, QU Zhe, ZHAO Chongjin. Seismic Performance of Owner-Built RC Frame Structures in Nepal[J]. Journal of Southwest Jiaotong University, 2019, 54(2): 304-312. doi: 10.3969/j.issn.0258-2724.20170755
Citation: XIANG Qiqi, LI Yadong, WEI Kai, WANG Shunyi, YAO Changrong. Review of Bridge Foundation Scour[J]. Journal of Southwest Jiaotong University, 2019, 54(2): 235-248. doi: 10.3969/j.issn.0258-2724.20170373
shu

Review of Bridge Foundation Scour

doi: 10.3969/j.issn.0258-2724.20170373
  • Received Date: 09 May 2017
  • Rev Recd Date: 25 Apr 2018
    • Available Online: 10 Oct 2018
  • Publish Date: 01 Apr 2019
    Abstract
  • Scour is one of the key causes of bridge failures. This paper presents a comprehensive review of the current research on scour at bridge foundations from five aspects: mechanism, calculation, modelling, monitoring and countermeasures, load and deformation. Based on the mechanism of scour around bridge foundations, different formulae developed for calculating scour depth are compared and analysed, and the limitations of the existing formulae are summarized. The results of numerical and laboratory models established for the scour studies are presented, along with a summary of the experimental and simulation limits. Moreover, a summary of monitoring methods with their advantages and disadvantages, as well as the countermeasures with their mechanisms and the effects on lateral load and deformation of bridge pillars is given. Finally, the future research trends of bridge foundation scour are presented, which provides some reference for research, design, and construction.

     

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    Created with Highcharts 5.0.7Chart context menuAccess Area Distribution其他: 16.7 %其他: 16.7 %其他: 0.1 %其他: 0.1 %Central District: 0.1 %Central District: 0.1 %Chandler: 0.1 %Chandler: 0.1 %China: 0.2 %China: 0.2 %Japan: 0.1 %Japan: 0.1 %Liverpool: 0.1 %Liverpool: 0.1 %North Point: 0.1 %North Point: 0.1 %Saitama: 0.1 %Saitama: 0.1 %Seattle: 0.1 %Seattle: 0.1 %Tuen Mun San Hui: 0.1 %Tuen Mun San Hui: 0.1 %[]: 0.4 %[]: 0.4 %上海: 2.8 %上海: 2.8 %东京: 0.2 %东京: 0.2 %东莞: 0.9 %东莞: 0.9 %东营: 0.1 %东营: 0.1 %中山: 0.1 %中山: 0.1 %临汾: 0.1 %临汾: 0.1 %临沂: 0.1 %临沂: 0.1 %丹佛: 0.1 %丹佛: 0.1 %九龙: 0.1 %九龙: 0.1 %伊犁: 0.4 %伊犁: 0.4 %佛山: 0.1 %佛山: 0.1 %保定: 0.2 %保定: 0.2 %信阳: 0.1 %信阳: 0.1 %元朗新墟: 0.1 %元朗新墟: 0.1 %兰州: 0.9 %兰州: 0.9 %北京: 5.1 %北京: 5.1 %华盛顿州: 0.1 %华盛顿州: 0.1 %南京: 4.6 %南京: 4.6 %南宁: 0.4 %南宁: 0.4 %南昌: 0.1 %南昌: 0.1 %南通: 0.1 %南通: 0.1 %厦门: 0.2 %厦门: 0.2 %台州: 0.2 %台州: 0.2 %合肥: 0.9 %合肥: 0.9 %吉伦特省: 0.1 %吉伦特省: 0.1 %呼和浩特: 0.1 %呼和浩特: 0.1 %哈尔滨: 0.2 %哈尔滨: 0.2 %哈尔滨市南岗区: 0.2 %哈尔滨市南岗区: 0.2 %哥伦布: 0.3 %哥伦布: 0.3 %唐山: 0.2 %唐山: 0.2 %喀什: 0.1 %喀什: 0.1 %嘉兴: 0.1 %嘉兴: 0.1 %墨尔本: 0.1 %墨尔本: 0.1 %大连: 0.7 %大连: 0.7 %天津: 1.5 %天津: 1.5 %太原: 0.2 %太原: 0.2 %威海: 0.2 %威海: 0.2 %孝感: 0.1 %孝感: 0.1 %宁波: 0.1 %宁波: 0.1 %安康: 0.4 %安康: 0.4 %安顺: 0.2 %安顺: 0.2 %宜昌: 0.4 %宜昌: 0.4 %宝鸡: 0.1 %宝鸡: 0.1 %宣城: 0.2 %宣城: 0.2 %岳阳: 0.5 %岳阳: 0.5 %巴音郭楞: 0.1 %巴音郭楞: 0.1 %常州: 0.2 %常州: 0.2 %广元: 0.1 %广元: 0.1 %广安: 0.1 %广安: 0.1 %广州: 1.4 %广州: 1.4 %廊坊: 0.1 %廊坊: 0.1 %张家口: 1.5 %张家口: 1.5 %德州: 0.1 %德州: 0.1 %德阳: 0.1 %德阳: 0.1 %德黑兰: 0.1 %德黑兰: 0.1 %戈尔韦: 0.1 %戈尔韦: 0.1 %成都: 1.9 %成都: 1.9 %扬州: 0.3 %扬州: 0.3 %昆明: 0.8 %昆明: 0.8 %朝阳: 0.7 %朝阳: 0.7 %杭州: 2.4 %杭州: 2.4 %武汉: 3.0 %武汉: 3.0 %汕头: 0.1 %汕头: 0.1 %江门: 0.1 %江门: 0.1 %池州: 0.4 %池州: 0.4 %沈阳: 0.6 %沈阳: 0.6 %泰安: 0.2 %泰安: 0.2 %洛阳: 0.2 %洛阳: 0.2 %济南: 0.6 %济南: 0.6 %海口: 0.1 %海口: 0.1 %深圳: 0.6 %深圳: 0.6 %温州: 0.1 %温州: 0.1 %渭南: 0.2 %渭南: 0.2 %湖州: 0.2 %湖州: 0.2 %湘潭: 0.1 %湘潭: 0.1 %湘西: 0.1 %湘西: 0.1 %湛江: 0.1 %湛江: 0.1 %漯河: 0.1 %漯河: 0.1 %烟台: 0.2 %烟台: 0.2 %焦作: 0.1 %焦作: 0.1 %珠海: 0.1 %珠海: 0.1 %石家庄: 0.4 %石家庄: 0.4 %福州: 1.4 %福州: 1.4 %秦皇岛: 0.1 %秦皇岛: 0.1 %聊城: 0.1 %聊城: 0.1 %舟山: 0.4 %舟山: 0.4 %芒廷维尤: 10.8 %芒廷维尤: 10.8 %芝加哥: 0.4 %芝加哥: 0.4 %苏州: 0.3 %苏州: 0.3 %莫斯科: 0.1 %莫斯科: 0.1 %葫芦岛: 0.1 %葫芦岛: 0.1 %蚌埠: 0.1 %蚌埠: 0.1 %西宁: 17.1 %西宁: 17.1 %西安: 1.1 %西安: 1.1 %西雅图: 0.1 %西雅图: 0.1 %诺沃克: 0.1 %诺沃克: 0.1 %贵阳: 0.4 %贵阳: 0.4 %运城: 0.1 %运城: 0.1 %连云港: 0.2 %连云港: 0.2 %迪庆: 0.1 %迪庆: 0.1 %邢台: 0.1 %邢台: 0.1 %邯郸: 0.2 %邯郸: 0.2 %郑州: 1.5 %郑州: 1.5 %重庆: 1.4 %重庆: 1.4 %金华: 0.1 %金华: 0.1 %银川: 0.1 %银川: 0.1 %长春: 0.1 %长春: 0.1 %长沙: 3.8 %长沙: 3.8 %阜阳: 0.1 %阜阳: 0.1 %阳江: 0.1 %阳江: 0.1 %青岛: 0.8 %青岛: 0.8 %香港: 0.2 %香港: 0.2 %黄石: 0.1 %黄石: 0.1 %黔南: 0.1 %黔南: 0.1 %黔西南: 0.1 %黔西南: 0.1 %其他其他Central DistrictChandlerChinaJapanLiverpoolNorth PointSaitamaSeattleTuen Mun San Hui[]上海东京东莞东营中山临汾临沂丹佛九龙伊犁佛山保定信阳元朗新墟兰州北京华盛顿州南京南宁南昌南通厦门台州合肥吉伦特省呼和浩特哈尔滨哈尔滨市南岗区哥伦布唐山喀什嘉兴墨尔本大连天津太原威海孝感宁波安康安顺宜昌宝鸡宣城岳阳巴音郭楞常州广元广安广州廊坊张家口德州德阳德黑兰戈尔韦成都扬州昆明朝阳杭州武汉汕头江门池州沈阳泰安洛阳济南海口深圳温州渭南湖州湘潭湘西湛江漯河烟台焦作珠海石家庄福州秦皇岛聊城舟山芒廷维尤芝加哥苏州莫斯科葫芦岛蚌埠西宁西安西雅图诺沃克贵阳运城连云港迪庆邢台邯郸郑州重庆金华银川长春长沙阜阳阳江青岛香港黄石黔南黔西南

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