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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 staff from the Department of Civil and Natural Resources Engineering at the University of Canterbury. The department used the Sunday School room of the Avonhead Baptist Church after the 22 February 2011 earthquake.

Images, UC QuakeStudies

A photograph of the reception area of the Department of Civil and Natural Resources Engineering at the University of Canterbury. The photograph was taken when the staff were let in after the 22 February 2011 earthquake.

Images, UC QuakeStudies

A photograph of staff from the Department of Civil and Natural Resources Engineering at the University of Canterbury. The department used the Sunday School room of the Avonhead Baptist Church after the 22 February 2011 earthquake.

Images, UC QuakeStudies

A photograph of computers and desks from the Department of Civil and Natural Resources Engineering at the University of Canterbury. These were set up in the Sunday School room of the Avonhead Baptist Church after the 22 February 2011 earthquake.

Images, UC QuakeStudies

A photograph of computers and desks from the Department of Civil and Natural Resources Engineering at the University of Canterbury. These were set up in the Sunday School room of the Avonhead Baptist Church after the 22 February 2011 earthquake.

Research papers, The University of Auckland Library

Perimeter Moment resisting steel frames (PMRSFs) are a commonly used seismic resisting system, placed around the perimeter of the building for maximum torsional stiffness. They are typically designed as “strong column weak beam” systems with fixed column bases. When subjected to severe earthquake demand, sufficient to push the beams into the inelastic range, it is expected that plastic hinging at the column bases will occur. However, the response of PMRSF systems to the severe 2010/2011 Christchurch earthquake series did not generate column base hinging in systems which exhibited beam yielding.

Images, UC QuakeStudies

A photograph of Elizabeth Ackermann's office. Elizabeth Ackermann is the administrator in the Department of Civil and Natural Resources Engineering at the University of Canterbury. The photograph was taken when she was first let back in after the 22 February 2011 earthquake.