PSI - Issue 78

Available online at www.sciencedirect.com

ScienceDirect

Procedia Structural Integrity 78 (2026) 1436–1442

© 2025 The Authors. Published by ELSEVIER B.V. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0) Peer-review under responsibility of XX ANIDIS Conference organizers Keywords: absolute displacement; digital image correlation; dynamic testing; relative and inter-story displacement; shake-table testing; structural health monitoring; vision-based monitoring. Abstract This paper presents an effective computer vision methodology for monitoring displacements in multi-story buildings during shake-table testing, as a convenient alternative to conventional contact sensors. The proposed system, in its simplest configuration, uses only two video cameras: one installed on the roof pointing downward to simultaneously measure absolute and relative horizontal displacements of targets at different floor levels, and one at ground level as a stationary reference to acquire the roof displacement by tracking a target near the internal camera. This setup provides i) redundant roof displacement measurements and ii) compensation for possible noise affecting the internal camera during shaking. The methodology was first applied during the shake-table testing of a full-scale, six-story mass timber building on the 6-DOF outdoor shake-table (LHPOST6) at the University of California San Diego. Based on the results, a critical discussion of the methodology’s performance is presented. XX ANIDIS Conference Some observations from the first application of a computer vision monitoring of displacements in multi-story buildings during shake table tests Laura Gioiella a *, Fabio Micozzi b , Morgan McBain c , Michele Morici a , Alessandro Zona a , Andrea Dall’Asta b , Barbara G. Simpson c , Andre R. Barbosa d a Università degli Studi di Camerino, Scuola di Architettura e Design, Viale della Rimembranza 3, 63100 Ascoli Piceno (AP), Italy b Università degli Studi di Camerino, Scuola di Scienze e Tecnologie, Via Gentile III Da Varano 7, 62032 Camerino (MC), Italy c Civil and Environmental Engineering, Stanford University, 475 Via Ortega, Stanford, CA 94305, United States d School of Civil & Construction Engineering, Oregon State University, Kearney Hall, 1491 SW Campus Way, Corvallis, OR 97331, United States

* Corresponding author. Tel.: +39 0737 404258. E-mail address: laura.gioiella@unicam.it

2452-3216 © 2025 The Authors. Published by ELSEVIER B.V. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0) Peer-review under responsibility of XX ANIDIS Conference organizers 10.1016/j.prostr.2025.12.183