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爆炸荷载下装配式桥墩损伤因素灰色关联分析 被引量:1
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作者 姜天华 高作能 +2 位作者 管建成 赵新洲 黄雯 《爆破》 CSCD 北大核心 2023年第1期177-184,共8页
装配式桥墩在桥梁施工领域得到广泛的应用,常受偶然爆炸或恐怖袭击的打击影响。为研究爆炸荷载下装配式桥墩损伤因素的影响规律,采用ANSYS/Workbench建立了近场爆炸荷载作用下的装配式桥墩数值模型,基于桥墩剩余承载力,提出以破坏参数D... 装配式桥墩在桥梁施工领域得到广泛的应用,常受偶然爆炸或恐怖袭击的打击影响。为研究爆炸荷载下装配式桥墩损伤因素的影响规律,采用ANSYS/Workbench建立了近场爆炸荷载作用下的装配式桥墩数值模型,基于桥墩剩余承载力,提出以破坏参数D作为抗爆性指标,以炸药当量、爆心距离、初始预应力大小、节段数和剪力键的设置为损伤因素,分析了5种因素对桥墩损伤程度影响。在此基础上,利用灰色关联分析法衡量爆炸荷载下装配式桥墩损伤因素之间关联度的指标与贡献度。结果表明:增大初始预应力、节段间设置剪力键其破坏参数D的综合降低率为32.1%、29.6%,均能有效降低墩柱的损伤,与装配式桥墩抗爆受损有良好的关联性;而增加剪力键高度和节段数为12%、7.2%,对墩柱损伤影响较小;5种因素对爆炸荷载下装配式桥墩损伤影响的关联度从大到小为:TNT当量、爆心距离、初张拉预应力、剪力键的设置、节段数量。装配式桥墩抗爆设计中,可优先考虑提高初张拉预应力大小、设置剪力键等关联度较大的因素,灰色关联分析法对爆炸荷载下装配式桥墩损伤因素分析具有一定的参考性。 展开更多
关键词 装配式桥墩 灰色关联分析 爆炸荷载 损伤因素分析 数值模拟
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Risk Factors Analysis on Traumatic Brain Injury Prognosis 被引量:10
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作者 Resha Shrestha 《Chinese Medical Sciences Journal》 CAS CSCD 2011年第2期98-102,共5页
Objective To investigate the independent risk factors of traumatic brain injury (TBI) prognosis. Methods A retrospective analysis was performed in 885 hospitalized TBI patients from January 1, 2003 to January 1, 20... Objective To investigate the independent risk factors of traumatic brain injury (TBI) prognosis. Methods A retrospective analysis was performed in 885 hospitalized TBI patients from January 1, 2003 to January 1, 2010 in the First Affiliated Hospital of Medical College of Xi'an Jiaotong LIniversity. Sin- gle-factor and logistic regression analysis were conducted to evaluate the association of different variables with TBI outcome. Results The single-factor analysis revealed outcome, including age (P=0.044 for the age group (P〈0.O01), cerebrospinal fluid leakage (P〈0.001), reflex (P〈0.001), shock (P〈0.001), associated (P〈0.001), cerebral contusion (P〈0.001), diffuse significant association between several variables and TB1 40-60, P〈0.00l for the age group ≥60), complications Glasgow Coma Scale (GCS) (P〈0.001), pupillary light extra-cranial lesions (P=0.01), subdural hematoma axonal injury (P〈0.001), and subarachnoid hemorrhage (P〈0.001), suggesting the influence of those factors on the prognosis of TBI. Furthermore, logistic regression analysis identified age, GCS score, pupillary light reflex, subdural hematoma, and subarachnoid hemorrhage as independent risk factors of TB1 prognosis. Conclusion Age, GCS score, papillary light reflex, subdural hematoma, and subarachnoid hemorrhage may be risk factors influencing the prognosis of TBI. Paying attention to those factors might improve the outcome of TBI in clinical treatment. 展开更多
关键词 traumatic brain injury PROGNOSIS risk factors
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