000020193 001__ 20193
000020193 005__ 20170118182359.0
000020193 04107 $$aeng
000020193 046__ $$k2017-01-09
000020193 100__ $$aMasahiro, Kurata
000020193 24500 $$aIdentification of Seismically-Induced Local Damage in Steel Moment-Resisting Frames Using Wireless Strain Sensing

000020193 24630 $$n16.$$pProceedings of the 16th World Conference on Earthquake Engineering
000020193 260__ $$b
000020193 506__ $$arestricted
000020193 520__ $$2eng$$aSteel moment-resisting frames subjected to severe ground shaking may suffer local damage (e.g., fractures) at beam-column connections, which likely impair the safety for occupancy. Post-quake safety evaluation and decision-making for steel moment-resisting frames mainly depends on the inspection results of local damage to beam-column connections. This paper presents the comprehensive overview on the recent developments at DPRI, Kyoto University on a local damage evaluation method for identifying seismically-induced beam fractures in steel moment-resisting frames. A local damage estimator that consists of damage index, decoupling algorithm, and damage curve is developed for quantitatively identifying beam fractures. A damage index is formulated from a comparative study of the strain responses before and after earthquakes. Decoupling algorithm is necessary to estimate the damage index for each individual fracture under multiple damage condition where the damage indices for neighboring fractures correlate each other. The derivation of a damage curve enables to translate the decoupled damage index into the physical properties of fracture, i.e. the reduction of its bending stiffness. Finally, the effectiveness of the local damage evaluation method was experimentally examined using vibrational tests on a large-scale five-story steel frame testbed that was designed to accommodate seismic fractures at beam-ends.

000020193 540__ $$aText je chráněný podle autorského zákona č. 121/2000 Sb.
000020193 653__ $$adamage quantification; seismic damage; steel moment-resisting frame; dynamic strain; wireless sensing

000020193 7112_ $$a16th World Conference on Earthquake Engineering$$cSantiago (CL)$$d2017-01-09 / 2017-01-13$$gWCEE16
000020193 720__ $$aMasahiro, Kurata$$iHiromichi, Nishino$$iAkiko, Suzuki$$iXiaohua, Li
000020193 8560_ $$ffischerc@itam.cas.cz
000020193 8564_ $$s477871$$uhttps://invenio.itam.cas.cz/record/20193/files/718.pdf$$yOriginal version of the author's contribution as presented on USB, paper 718.
000020193 962__ $$r16048
000020193 980__ $$aPAPER