解放军理工大学学报（自然科学版）
解放軍理工大學學報（自然科學版）
해방군리공대학학보（자연과학판）
JOURNAL OF PLA UNIVERSITY OF SCIENCE AND TECHNOLOGY(NATURAL SCIENCE EDITION)
2014年
5期
451-457
,共7页
砌体结构%爆破振动%破坏效应%评价%突变级数法
砌體結構%爆破振動%破壞效應%評價%突變級數法
체체결구%폭파진동%파배효응%평개%돌변급수법
masonry structure%blasting vibration%destructive effect%evaluation%catastrophe progression method
为了研究爆破振动对砌体结构破坏效应的评价与预测问题,提出基于突变级数法的方案。考虑爆破振动、建筑施工、砌体结构和建设场地等4个方面的属性,选用振幅、主频率、主频率持时、施工质量、灰缝强度、圈梁构造柱、房屋高度、屋盖形式、砖墙面积率以及场地条件等10个参数,建立了砌体结构爆破振动破坏效应评价的递阶层次指标体系；选用28组现场实测数据作为训练样本,建立突变级数判据,从而建立了砌体结构爆破振动破坏效应评价和预测的突变级数法；选用24组现场实测数据作为测试样本,以检验模型的可行性和可靠性。研究表明,突变级数法的评价结果与实际情况吻合,其中,12组测试样本的评价结果与模糊神经网络、Fisher判别分析法和支持向量机法等的评价结果一致。
為瞭研究爆破振動對砌體結構破壞效應的評價與預測問題,提齣基于突變級數法的方案。攷慮爆破振動、建築施工、砌體結構和建設場地等4箇方麵的屬性,選用振幅、主頻率、主頻率持時、施工質量、灰縫彊度、圈樑構造柱、房屋高度、屋蓋形式、磚牆麵積率以及場地條件等10箇參數,建立瞭砌體結構爆破振動破壞效應評價的遞階層次指標體繫；選用28組現場實測數據作為訓練樣本,建立突變級數判據,從而建立瞭砌體結構爆破振動破壞效應評價和預測的突變級數法；選用24組現場實測數據作為測試樣本,以檢驗模型的可行性和可靠性。研究錶明,突變級數法的評價結果與實際情況吻閤,其中,12組測試樣本的評價結果與模糊神經網絡、Fisher判彆分析法和支持嚮量機法等的評價結果一緻。
위료연구폭파진동대체체결구파배효응적평개여예측문제,제출기우돌변급수법적방안。고필폭파진동、건축시공、체체결구화건설장지등4개방면적속성,선용진폭、주빈솔、주빈솔지시、시공질량、회봉강도、권량구조주、방옥고도、옥개형식、전장면적솔이급장지조건등10개삼수,건립료체체결구폭파진동파배효응평개적체계층차지표체계；선용28조현장실측수거작위훈련양본,건립돌변급수판거,종이건립료체체결구폭파진동파배효응평개화예측적돌변급수법；선용24조현장실측수거작위측시양본,이검험모형적가행성화가고성。연구표명,돌변급수법적평개결과여실제정황문합,기중,12조측시양본적평개결과여모호신경망락、Fisher판별분석법화지지향량궤법등적평개결과일치。
To study the evaluation and prediction of the destructive effect on masonry structure under blasting vibra-tion,a catastrophe progression method was proposed. Four characteristics of blasting vibration, construction quality, masonry structure, and construction site were taken into account, and 10 parameters were selected as the discrimi-nant factors,including blasting vibration amplitude, dominant frequency, dominant frequency duration, construction quality,joint mortar intensity, collar beam structure, house height, roof forms, brick vall ratio, and site conditions. Then,the hierarchical index system for destructive effect evaluation of masonry structure under blasting vibration was put forward. 28 measured data in site were selected as the training samples to present the catastrophe progres-sion recognition criteria, and catastrophe progression method for evaluation and prediction on the destructive effect of masonry structure under blasting vibration was constructed. An additional 24 measured data in site were selected as the testing samples, and evaluated to verify the feasibility and reliability of the catastrophe progression method. The study indicates that the results evaluated by the proposed method are the same as the practical situation, and that those of the 12 samples of the selected training samples agrees well with those of the fuzzy neural network, Fisher discriminant analysis method, and support vector machine method.
