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57篇 您的检索式:作者名="Huaizhi Wu"
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1Evaluation model for service life of dam based on time-varying risk probability显示文摘For many dam projects in China, the 50-year designed life time is coming to an end. It is urgent to study the theory and method to evaluate the dam service life. In this paper, firstly, the probability theory of fuzzy event and time-varying effect theory are used to analyze the time-variety of various risk factors in the process of dam operations. A method is proposed to quantify the above time-variety and a model to describe the fuzzy time-varying risk probability for the dam structure is also built. Secondly, the information entropy theory is used to analyze the uncertain degree relationship between the characteristic value of membership function and fuzzy risk probability, and a mathematical method is presented to calculate the time-varying risk probability accordingly. Thirdly, the relation mode between time-varying risk probability and service life is discussed. Based on this relation mode and the acceptable risk probability of dams in China, a method is put forward to evaluate and forecast the dam service life. Finally, the proposed theory and method are used to analyze one concrete dam. The dynamic variability and mutation feature of the dam risk probability are analyzed. The remaining service life of this dam is forecasted. The obtained results can provide technology support for the project management department to make treatment measures of engineering and reasonably arrange reinforce cost. The principles in this paper have wide applicability and can be used in risk analysis for slope instability and other fields.SU HuaiZhi WEN ZhiPing HU Jiang WU ZhongRu 2009Science China(Technological Sciences)2009,52,7:23
2Risk assessment method of major unsafe hydroelectric project显示文摘Based on the characteristics of major unsafe hydroelectric projects and the data from field detection, in situ monitoring, and regular safety inspection, the funda-mental principles of operation risk assessment are proposed in this paper. Mean-while, a three layer hierarchical system is constructed, and an improved analytical hierarchical process combining genetic algorithm and analytical hierarchical process is established, with corresponding program. The operation risk of some unsafe dam was assessed with the principles, method and program presented in this paper and the major factors which would affect the operation of the dam were pointed out.WU ZhongRu SU HuaiZhi GUO HaiQing 2008Science China(Technological Sciences)2008,51,9:11
3Wheat powdery mildew resistance gene Pm64 derived from wild emmer (Triticum turgidum var.dicoccoides) is tightly linked in repulsion with stripe rust resistance gene Yr5显示文摘Stripe rust and powdery mildew are both devastating diseases for durum and common wheat.Pyramiding of genes conferring resistance to one or more diseases in a single cultivar is an important breeding approach to provide broader spectra of resistances in wheat improvement. A new powdery mildew resistance gene originating from wild emmer(Triticum turgidum var.dicoccoides) backcrossed into common wheat(T. aestivum) line WE35 was identified. It conferred an intermediate level of resistance to Blumeria graminis f. sp. tritici isolate E09 at the seedling stage and a high level of resistance at the adult plant stage. Genetic analysis showed that the powdery mildew resistance in WE35 was controlled by a dominant gene designated Pm64. Bulked segregant analysis(BSA) and molecular mapping indicated that Pm64 was located in chromosome bin 2 BL4-0.50–0.89. Polymorphic markers were developed from the corresponding genomic regions of Chinese Spring wheat and wild emmer accession Zavitan to delimit Pm64 to a 0.55 cM genetic interval between markers WGGBH1364 and WGGBH612, corresponding to a 15 Mb genomic region on Chinese Spring and Zavitan 2 BL, respectively. The genetic linkage map of Pm64 is critical for fine mapping and cloning. Pm64 was completely linked in repulsion with stripe rust resistance gene Yr5. Analysis of a larger segregating population might identify a recombinant line with both genes as a valuable resource in breeding for resistance to powdery mildew and stripe rust.Deyun Zhang Keyu Zhu Lingli Dong Yong Liang Genqiao Li Tilin Fang Guanghao Guo Qiuhong Wu Jingzhong Xie Yongxing Chen Ping Lu Miaomiao Li Huaizhi Zhang Zhenzhong Wang Yan Zhang Qixin Sun Zhiyong Liu 2019The Crop Journal2019,7,6:8
4Mapping stripe rust resistance genes by BSR-Seq:YrMM58 and YrHY1 on chromosome 2AS in Chinese wheat lines Mengmai 58 and Huaiyang 1 are Yr17显示文摘Stripe rust(yellow rust), caused by Puccinia striiformis f. sp. tritici(PST),is one of the most devastating fungal diseases in common wheat(Triticum aestivum L.) in China and worldwide. Resistance breeding is the most effective strategy to control diseases in crop plants. Chinese wheat lines Mengmai 58 and Huaiyang 1 are highly resistant to PST race CYR34(V26) at the adult plant stage. To genetically map the underlying resistance genes we developed segregating populations by crossing Mengmai 58 and Huaiyang 1 with the susceptible cultivar Nongda 399. The stripe rust resistances in Mengmai 58 and Huaiyang 1 were both controlled by single dominant genes, provisionally designated YrMM58 and YrHY1, respectively. Bulked segregant RNA-Seq(BSR-Seq) analysis showed that YrMM58 and YrHY1 were located in the same distal ~16 Mb region on chromosome 2 AS.Comparative genomics analysis with the physical map of Aegilops tauschii proved useful for developing additional markers to saturate the genetic linkage map. YrMM58 and YrHY1 were mapped to the distal end of chromosome arm 2 AS, with the closest marker WGGB148 being 7.7 cM and 3.8 cM from the resistance gene, which was considered to be Yr17. These markers can be used in marker-assisted selection.Yong Wang Huaizhi Zhang Jingzhong Xie Bingmin Guo Yongxing Chen Huaiyu Zhang Ping Lu Qiuhong Wu Miaomiao Li Deyun Zhang Guanghao Guo Jian Yang Panpan Zhang Yan Zhang Xicheng Wang Hong Zhao Tingjie Cao Zhiyong Liu 2018The Crop Journal2018,6,1:5
5Mapping a leaf senescence gene els1 by BSR-Seq in common wheat显示文摘Leaf senescence is normally the last stage of plant development. Early senescence of functional leaves significantly reduces the photosynthetic time and efficiency, seriously affecting grain yield and quality in wheat. Discovering genes responsible for early leaf senescence(els) are necessary for developing novel germplasms and cultivars with delayed leaf-senescence through molecular manipulation and marker assisted selection. In this study, we identified an early leaf senescence line M114 in a derivative of a wheat breeding population. Genetic analysis indicated that early leaf senescence in M114 is controlled by a single recessive gene, provisionally designated els1. By applying bulked segregant analysis and RNA-Seq(BSR-Seq), seven polymorphic markers linked to els1 were developed and the gene was located on chromosome arm 2 BS in a 1.5 c M genetic interval between markers WGGB303 and WGGB305. A co-segregating marker, WGGB302, provide a starting point for fine mapping and map-based cloning of els1.Miaomiao Li Beibei Li Guanghao Guo Yongxing Chen Jingzhong Xie Ping Lu Qiuhong Wu Deyun Zhang Huaizhi Zhang Jian Yang Panpan Zhang Yan Zhang Zhiyong Liu 2018The Crop Journal2018,6,3:3
6A Study of Safety Evaluation and Early'warning Method for Dam Global Behavior显示文摘SU Huaizhi HU Jiang WU Zhongru 2012Structural Health Moni- toring2012,11,3:1
7Dam health diagnosis and evaluation 显示文摘Wu Zhongru Su Huaizhi 2005Smart Materials & Structures2005,14,3:1
8A study of safetyevaluation and early-warning method for dam globalbehavior 显示文摘SU Huaizhi HU Jiang WU Zhongru 2012Structural health Monitoring: AnInternational Journal2012,11,3:1
9A study of safety evaluation and early- warning method for dam global behavior显示文摘SU Huaizhi HU Jiang WU Zhongru 2012Structural Health Monitoring2012,11,3:1
10A Study of Safety Evaluation and Early-warning Method for Dam Global Behavior显示文摘SU Huaizhi HU Jiang WU Zhongru 2012Structural Health Moni- toring2012,11,3:1
11Dam health diagnosis and evaluation 显示文摘Wu Zhongru Su Huaizhi 2005Smart Materials Structures2005,14,13:1
12Identifica- tion Model for Dam Behavior Based on Wavelet Network显示文摘Huaizhi Su Zhongru Wu Zhiping Wen 2007Computer-Aided Civil and Infrastruc- ture Engineering2007,22,6:1
13Study on an Intelligent Inference Engine in Early-Warning System of Dam Health显示文摘Huaizhi Su Zhiping Wen Zhongru Wu 2011Water Resources Management2011,25,6:1
14A Study of Safety Evaluation and Early-warning Method for Dam Global Behavior显示文摘SU Huaizhi HU Jiang WU Zhongru 2012Structural Health Monito- ring2012,11,3:1
15A Study of Safety Evaluation and EarlyWarning Method for Dam Global Behavior显示文摘SU Huaizhi HU Jiang WU Zhongru 2012Structural Health Monitoring2012,11,3:1
16Study on An Intelligent Inference Engine in Early-warning Sys- tem of Dam Health显示文摘Huaizhi Su Zhiping Wen Zhongru Wu 2011Water Resources Manage- ment2011,25,6:1
17A study of safetyevaluation and early-warning method for dam globalbehavior显示文摘SU Huaizhi HU Jiang WU Zhongru 2012Structural Health Monitoring2012,11,3:1
18Dam health diagnosis and evaluation显示文摘WU Zhongru SU Huaizhi 2005Smart Materials & Structures2005,14,3:1
19Study on an intelligent in- ference engine in early-warning system of dam health 显示文摘SU Huaizhi WEN Zhiping WU Zhongru 2011Water Re- sources Management2011,25,6:1
20Identificationmodel for dam behavior based on wavelet network显示文摘SU Huaizhi WU Zhongru WEN Zhiping 2007Computer-Aided Civil and Infrastructure Engineering2007,22,6:1
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