The paper presents a new short-term dynamic displacement estimation method based on an acceleration and a geophone sensor. The proposed method combines acceleration and velocity measurements through a real time data fusion algorithm based on Kalman filter. The proposed method can estimate the displacement of a structure without displacement sensors, which is typically difficult to be applied to earthquake or fire sites due to their requirement of a fixed rigid support. The proposed method double-integrates the acceleration measurement recursively, and corrects an accumulated integration error based on the velocity measurement, The performance of the proposed method was verified by a lab-scale test, in which displacement estimated by the proposed method are compared to a reference displacement measured by laser doppler vibrometer (LDV).

• 최재묵(한국과학기술원 건설 및 환경공학과) | Jaemook Choi (Department of Civil and Environmetal Engineering, Korea Advanced Institute of Science and Technology, Daejeon, 34141, Korea)
• 정준연(한국과학기술원 건설 및 환경공학과) | Junyeon Chung (Department of Civil and Environmetal Engineering, Korea Advanced Institute of Science and Technology, Daejeon, 34141, Korea)
• 구건희(한국과학기술원 건설 및 환경공학과) | Gunhee Koo (Department of Civil and Environmetal Engineering, Korea Advanced Institute of Science and Technology, Daejeon, 34141, Korea)
• 김기영(한국과학기술원 건설 및 환경공학과) | Kiyoung Kim (Department of Civil and Environmetal Engineering, Korea Advanced Institute of Science and Technology, Daejeon, 34141, Korea)
• 손훈(한국과학기술원 건설 및 환경공학과) | Hoon Sohn (Department of Civil and Environmetal Engineering, Korea Advanced Institute of Science and Technology, Daejeon, 34141, Korea) Corresponding author