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Images for building safety; more images...

Images, UC QuakeStudies

A photograph of the Wellington Emergency Management Office Emergency Response Team standing in a car park on Lichfield Street. The team are wearing face and gas masks, hard hats, safety glasses, knee pads, and rubber gloves. In the background are several earthquake-damaged buildings.

Images, UC QuakeStudies

The partially demolished facade of the historic Blackwell's Department Store on the corner of Raven Quay and Williams Street in Kaiapoi. Black tarpaulins have been draped over the demolished section in an attempt to weather proof it, and the base of the building is enclosed in a safety fence.

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

The remains of Simply Catering Cafe on the corner of Salisbury and Madras Streets, which have been cordoned off by a safety fence. The business' owners have spray painted on the back wall of the building, "We'll be back". Behind the building an orange tarpaulin can be seen draped over a roof.

Images, UC QuakeStudies

The remains of Simply Catering Cafe on the corner of Salisbury and Madras Streets, which have been cordoned off by a safety fence. The business' owners have spray painted on the back wall of the building, "We'll be back". Behind the building an orange tarpaulin can be seen draped over a roof.

Images, UC QuakeStudies

Damage to the church hall of St John the Baptist Church in Latimer Square. The roof has been weather proofed with plywood and there are cracks in the buildings masonry. The remains of fallen bricks can be seen on the footpath. A safety fence has been erected around the building.

Images, UC QuakeStudies

Damage to the church hall of St John the Baptist Church in Latimer Square. The roof has been weather proofed with plywood and there are cracks in the buildings masonry. The remains of fallen bricks can be seen on the footpath. A safety fence has been erected around the building.