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Images, UC QuakeStudies

Damage to the church hall of St John the Baptist Church in Latimer Square. Masonry has fallen from one of the building's gables and has been piled against its base. The site has been enclosed in a safety fence. A spray-painted sign can be seen at the base of the building reading, "Danger! Wall unstable, stay clear". A piece of plywood is also visible weather proofing the building's roof.

Research papers, The University of Auckland Library

The rapid classification of building damage states or placards after an earthquake is vital for enabling an efficient emergency response and informed decision-making for rehabilitation and recovery purposes. Traditional methods rely heavily on inspector-led on-site surveys, which are often time-consuming, resource-intensive, and susceptible to human error. This study introduces a machine learning-supported surrogate model designed to streamline the assessment of building damage, focusing on the automated assignment of damage placards within the context of New Zealand's post-earthquake evaluation frameworks. The study evaluates two key safety evaluation protocols—Rapid Building Assessment (RBA) and Detailed Damage Evaluation (DDE)—and integrates corresponding databases derived from the 2010–2011 Canterbury Earthquake Sequence (CES) in Christchurch. Six ML classifiers—Multilayer Perceptron (MLP), Random Forest (RF), Support Vector Machine (SVM), K-Nearest Neighbours (KNN), Gradient Boosting Classifier (GBC), and Gradient Bagging (GBag)—were rigorously tested across both databases. The results indicate that the RF-based surrogate model outperforms the other classifiers across both RBA and DDE protocols. Two distinct sets of critical predictors have been further identified for each protocol, allowing for the rapid retrieval of essential data for future on-site surveys, while retaining the RF model's predictive accuracy. The developed surrogate model provides a pragmatic tool for practising engineers to rapidly assign placards to damaged structures and for policymakers and building owners to make informed recovery decisions for earthquake-affected buildings

Images, UC QuakeStudies

A photograph of a green sticker on the window of The Dolls House Shop antique store on Colombo Street. The sticker indicates that the store is safe to enter. The sign reads, "Inspected, no restriction on use or occupancy. This building has received a brief inspection only. While no apparent structural or other safety hazards have been found, a more comprehensive inspection of the exterior and interior may reveal safety hazards". The structural engineer has written on the sign "propping to rear of building inadequate, fire egress also at rear inappropriate, no occupancy to second storey".