본문 바로가기

Li, Hong-Nan 논문수  · 이용수 74 · 피인용수 1

소속기관
School of Civil Engineering, Dalian University of Technology
소속부서
-
주요 연구분야
공학 > 건축공학 > 토목공학 공학 > 기타공학 > 기타 공학
연구경력
-
  • 저자정보 . 논문
  • 공저자 . 저널

저자의 연구 키워드

저자의 연구 키워드
#aeroelastic model
#artificial fish swarm algorithm
#axial force identification
#benchmark structure
#BP neural network
#candidate strain gauge locations
#Canton Tower
#collaborative -climb
#damage detection
#damage diagnosis
#damage identification
#data normalization
#data-based model
#deformation monitoring
#distributed monkey algorithm
#dynamic deflection
#dynamic test
#effective independence method
#eigensystem realization algorithm
#energy-damage theory
#environmental variable
#ERA)
#estimated locations
#FEM)
#finite element method
#general extreme value distribution
#generalized genetic algorithm
#GGA)
#girder acceleration
#global positioning system
#glowworm swarm optimization algorithm
#grey relational analysis
#Hankel matrix
#harmony search algorithm
#high-dimensional function
#high-rise building
#high-rise buildings
#high-voltage transmission tower
#information entropy
#large-span civil infrastructure
#low-dimensional function
#MAC)
#modal assurance criterion
#modal estimation
#model reduction
#modified Timoshenko beam theory
#monkey algorithm
#multi-dimensional seismic response
#multi-objective optimization
#negative selection algorithm
#nonlinear equation
#optimal sensor placement
#optimization algorithm
#OSP)
#outlier detection
#pair cointegration
#Pigeon Colony Algorithm
#platform
#railway bridge
#rain load
#robustness
#seismic control
#sensitivity
#series of multidegree-of freedom
#SHM)
#singular value decomposition
#spurious mode
#stabilization diagram
#strain gauge
#structural health monitoring
#structure health monitoring
#suspension bridge
#SVD)
#time series
#triaxial accelerometer
#truss structure
#virus monkey algorithm
#virus theory of evolution
#viscoelastic damper
#wavelet packet analysis
#wavelet transform
#wind tunnel test
#wind-rain excitation

저자의 논문

연도별 상세보기를 클릭하시면 연도별 이용수·피인용수 상세 현황을 확인하실 수 있습니다.
피인용수는 저자의 논문이 DBpia 내 인용된 횟수이며, 실제 인용된 횟수보다 적을 수 있습니다.