Geomatics and Soft Computing Techniques for Infrastructural Monitoring
作者: Vincenzo BarrileAntonino FotiaGiovanni LeonardiRaffaele Pucinotti
作者单位: 1DICEAM—Civil, Energy, Environmental and Material, Engineering Department, Mediterranean University, 89124 Reggio Calabria, Italy; vincenzo.barrile@unirc.it (V.B.); giovanni.leonardi@unirc.it (G.L.)
2PAU—Heritage-Architecture-Urbanism, Mediterranean University, 89124 Reggio Calabria, Italy; raffaele.pucinotti@unirc.it
刊名: Sustainability, 2020, Vol.12 (4)
来源数据库: Multidisciplinary Digital Publishing Institute
DOI: 10.3390/su12041606
关键词: GeomaticsNeural networkSensorsBridgeViaductStatic and dynamic analysis
原始语种摘要: Structural Health Monitoring (SHM) allows us to have information about the structure under investigation and thus to create analytical models for the assessment of its state or structural behavior. Exceeded a predetermined danger threshold, the possibility of an early warning would allow us, on the one hand, to suspend risky activities and, on the other, to reduce maintenance costs. The system proposed in this paper represents an integration of multiple traditional systems that integrate data of a different nature (used in the preventive phase to define the various behavior scenarios on the structural model), and then reworking them through machine learning techniques, in order to obtain values to compare with limit thresholds. The risk level depends on several variables, specifically,...
全文获取路径: MDPI 
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关键词翻译
关键词翻译
  • monitoring 监视
  • risky 危险
  • sustainable 能保持一定速度的
  • integrate 积分
  • dynamic 动力学的
  • costs 费用
  • learning 学识
  • warning 警报
  • through 经过
  • contest 竞争