A Machine learning approach for rapid disaster response based on multi- modal data: The case of housing & shelter needs

Along with climate change, more frequent extreme events, such as flooding and tropical cyclones, threaten the livelihoods and wellbeing of poor and vulnerable populations. One of the most immediate needs of people affected by a disaster is finding shelter. While the proliferation of data on disasters is already helping to save lives, identifying...

Integrating the Multi-Functional Space and Long-Span Structure for Sports Arena Design: A design exploration process based on design optimization and self-organizing map

The multi-functional space of sports arena is highly related to the long-span structure. To support the integration of these two aspects, design optimization combining parametric modeling, performance simulations, and searching algorithm can be used. However, optimization is powerful in dealing with quantitative performance, but for some soft...

Decision support tool based on multi-source data analysis for the tram wheel-rail interface

This paper presents a methodology to support decision making based on the tram wheel-rail interface condition. The methodology relies on the following measurements: tram failure log-files regarding wheel-sliding events, monitored acoustics data and open source weather information. The proposed methodology consists of three stages: 1) data...

Approaches towards a Probabilistic Assessment of Geotechnical Parameter Distributions Relying on Geophysical Imaging

Geophysical imaging techniques, such as seismic crosshole tomographic methods, provide spatially continuous information about physical parameter variations in the ground. This physical parameter information, e.g., distribution of seismic velocities, is frequently used to estimate spatial distributions of geotechnical target parameters that could...

Re-Framing Resilient Urbanism. A Smart Alternative to Generic New Towns Development in South-East Asia: The Case of Hanoi (Vietnam)

Resilient Urbanism is a broad concept that seeks to explore a wide spectrum of topics related to what makes resilience in urban contexts unique: spatial challenges, social and economic equity, climate change, density, mobility, governance, and other characteristics related to the unpredictable and ever-changing urban environment. It proposes a...

Hyper-Morphology: Experimentations with bio-inspired design processes for adaptive spatial re-use

Hyper-Morphology is an on-going research outlining a bottom-up evolutionary design process based on autonomous cellular building components. The research interfaces critical operational traits of the natural world (Evolutionary Development Biology, Embryology and Cellular Differentiation) with Evolutionary Computational techniques driven design...

The City Biosphere: A novel theoretical and experimental methodology for the identification of catalysing mutations in city generation, assembly and development

This paper introduces a new experimental city generation, assembly and development platform, the urban mutations platform. We describe in detail a methodology for modeling urban systems and their dynamics, based on self-organization principles. The urban area is seen as an organism comprised of different “body parts”, the urban subunits. Upon...

Hyper-Morphology: Experimentations with bio-inspired design processes for adaptive spatial re-use

Hyper-Morphology is an on-going research outlining a bottom-up evolutionary design process based on autonomous cellular building components. The research interfaces critical operational traits of the natural world (Evolutionary Development Biology, Embryology and Cellular Differentiation) with Evolutionary Computational techniques driven design...

Analyzing Inverse Infrastructures using a Complex Adaptive Systems Perspective

The number of inverse infrastructures (Vree, 2003), that is, user-driven and self-organizing infrastructures, is rising and unsettling policies that are foremost tailored to deal with large-scale and centrally-governed infrastructures (Egyedi et al. 2012). To better understand and address this mismatch, Van den Berg (2012) has developed a...

Multi-objective design exploration using efficient global optimization

Multi-Objective Design Exploration (MODE) and its application are presented. MODE reveals the structure of the design space from the trade-off information and visualizes it as a panorama for Decision Maker. As an optimizer for MODE, Efficient Global Optimization (EGO) based on the Kriging model has been extended to Multi-EGO to solve multi...

Design Exploration of Shielding Effect for Aircraft Engine Noise

The multi-objective design exploration of the two-dimensional shielding effect for engine noise using V-tale wing has been performed. Two objective functions are considered as the minimization of the sound pressure level at the side and bottom locations relative to the fuselage, which values are evaluated by using the linearized Euler equation....