|
|||||
|
|
| 人工神经网络在高温后静置混凝土抗压强度预报中的应用 | |
| 引用本文： | 吕天启,赵国藩,林志伸.人工神经网络在高温后静置混凝土抗压强度预报中的应用[J].工程力学,2003,20(6):52-57. |
| 作者姓名： | 吕天启 赵国藩 林志伸 |
| 作者单位： | 1. 清华大学水利水电工程系,北京,100084 2. 大连理工大学土木水利学院,辽宁,大连,116024 3. 国家工业建筑诊断与改造工程技术研究中心,北京,100088 |
| 基金项目： | 中国工程建设标准化协会《火灾后建筑结构可靠性鉴定标准》编制基金资助((98)建标协字第08号)，冶金部建筑研究总院科研基金资助(99024) |
| 摘 要： | 根据试验结果,应用人工神经网络(ANN)方法对火灾高温后静置混凝土的抗压强度进行了预报,预报值与试验值吻合良好。探讨了受火温度、高温后静置时间及冷却和养护方式对火灾高温后混凝土抗压强度的影响。此外,利用该网络模型分析了火灾高温下混凝土的抗火性能。表明该方法是可行的。 |
| 关 键 词： | 结构工程 火灾高温 人工神经网络 静置 混凝土 抗压强度 |
| 文章编号： | 1000-4750(2003)06-0052-06 |
APPLICATION OF ARTIFICIAL NEURAL NETWORK IN THE PREDICTION OF COMPRESSIVE STRENGTH OF LONG STANDING CONCRETE AFTER EXPOSURE TO HIGH TEMPERATURE |
|
| LU Tian-qi,ZHAO Guo-fan,LIN Zhi-shen.APPLICATION OF ARTIFICIAL NEURAL NETWORK IN THE PREDICTION OF COMPRESSIVE STRENGTH OF LONG STANDING CONCRETE AFTER EXPOSURE TO HIGH TEMPERATURE[J].Engineering Mechanics,2003,20(6):52-57. | |
| Authors: | LU Tian-qi ZHAO Guo-fan LIN Zhi-shen |
| Affiliation: | LU Tian-qi1,ZHAO Guo-fan2,LIN Zhi-shen3 |
| Abstract: | Based on test results, the compressive strength of standing concrete after exposure to high temperature is predicted by the method of artificial neural network (ANN). Good agreement is reached between the predicted results and the test data. The effects of high temperature, standing time after cooling, methods of cooling and curing on the compressive strength of concrete are discussed. The fire resistance performance of concrete exposed to high temperature fire is analyzed by the ANN. It is concluded that the ANN method is feasible to estimation of the compressive strength of standing concrete after exposure to high temperature in practice. |
| Keywords: | structural engineering high temperature fire ANN standing concrete compressive strength |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |