The Münsterdorf sinkhole cluster: Void origin and mechanical failure

<p>We describe and explore a group of collapse sinkholes located on a<br>sports field in the village of Münsterdorf close to Hamburg in northern Germany.<br>The collapse sinkholes develop since 2004 with a rate of one per year, with<br>sizes between 2-3 m in diameter and 3-5 meter depth, and are aligned to<br>a narrow east-west trending region..<br>In 20 m depth, cretaceous chalk is present in the area, topped by peri-glacial<br>and glacial deposits.<br>We summarize hydrological, geodetical, and geophysical data collected<br>and then discuss mechanical concepts for the occurence of the collapse sinkholes,<br>starting with simple analytical solutions and then expanding to distinct-element modelling.<br>We conclude that dewatering of the area might be an important aspect for the collapse sinkhole<br>developement.</p>

UNDERSTANDING THE EFFECTS OF DOCUMENTATION DETAIL ON DIAGNOSTICS OF HISTORIC STRUCTURES

<p><strong>Abstract.</strong> Before reinforcements or new construction are added to historic structures, it is important to understand how the existing damage could have arisen. Often to do this, documentation methods such as laser scanning and photogrammetry are used to capture the existing conditions and physics-based models are used to simulate the response of a facsimile structure to various responses. Something that varies quite a bit though is the level of detail used to capture the existing conditions as well as the level of detail used to represent the structure during physics-based modelling. This paper aims to understand the effects of documentation detail on diagnostics of historic structures. To do this, two masonry structures were documented with laser scanners, photographs, and thermal images. For each case study, three-dimensional models of varying fidelity were generated based on the results of simulation. The response of these models to loading conditions was then calculated using a physics-based modelling technique called finite-distinct element modelling. The results for each case study are compared to understand the impacts of geometry on diagnostics; discussion about future tools to augment current practices is included.</p>