Modeling data dissemination processes as part of the future LADM development

Land administration (LA) is dynamic, and it cannot be understood, built or improved unless the processes associated with it are understood. One of the core standards in the domain of LA, namely ISO 19152 Land Administration Domain Model (LADM) provides conceptual data models for land administration systems (LASs). However, it does not cover all...

Using machine learning to predict concrete’s strength: Learning from small datasets

Despite previous efforts to relate concrete proportioning and strength, a robust knowledgebased model for accurate concrete strength predictions is still lacking. As an alternative to physical or chemical-based models, machine learning (ML) methods offer a new solution to this problem. Although ML can handle the complex, non-linear, non-additive...

Topo-Metric Variations for Design Optimization: Introducing a Generative Model for simultaneously varying metric and topological properties of facade geometry

The conception of a Generative Model (GM) is an important step when applying optimization methods in architectural design. The variant spectrum generable with a GM determines if an optimal solution for the different demands placed on a design can be found. Using the example of optimizing façades (more specifically window-layouts), it is shown...

Computational predictions of mechanochemically based self-reinforcing elastomers

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Use of artificial intelligence to predict the accuracy of pre-tender building cost estimate

Pre-tender estimates are susceptible to inaccuracies (biases) because they are often prepared within a limited timeframe, and with limited information about project scope. Inaccurate estimation of project uncertainties is the underlying cause of project cost overruns in construction. Typically, cost engineers and quantity surveyors would add...

Modeling and simulation of the heat transfer in a thermal battery

Thermal batteries are primary disposable systems specially designed to develop a high energy density in during a short period. Differently from the classical electrochemical systems, the electrolyte of such batteries is solid at room temperature, which make them inert until they are heated to high temperatures (around 500ºC), when the...

ALMD: A modeling environment for ILES

Further development of Large Eddy Simulation faces as major obstacle the strong coupling between subgrid-scale model and the truncation error of the numerical discretization. Recent analyzes indicate that for certain discretizations and certain flow configurations the truncation error itself can act as implicit SGS model. Relevant...

Modelling and simulation of materials synthesis: Chemical vapor depositoion and infiltration of pyrolytic carbon

Numerical simulation of materials synthesis based on detailed models for the chemical kinetics and transport processes is expected to support development and optimization of production processes. Exemplarily, chemical vapor deposition and infiltration of pyrolytic carbon for the production of carbon fiber reinforced carbon is studied by recently...

High temperature silicon carbide chemical vapor deposition processes: From pure thermodynamic to mass transport modeling

Over the last twenty years, processes which lead to materials synthesis from a gaseous phase constitute an important technology in many applications fields such as microelectronics or protective coating industry. Due to the complexity of the involved phenomena, computational modeling had been required to improve technological processes and help...