A simplified methodology is proposed for calculating the plastic collapse (limit) bending moment load of a pipe with circumferential flaw an emphasis on its application use in assessment cracked offshore wind turbine monopile using failure diagrams. The based theory net section (NSC) but differs from existing approaches that it does not need idealisation and categorisation crack before assessme...

With the increasing application of battery energy storage in buildings, networks and transportation, an emerging challenge to overall system resilience is understanding constituent asset health. Current considerations focus on adhering technical specification service short term, rather than long-term consequences However, accurately determining health generally requires invasive measurements or...

Sensor-based human activity recognition (HAR) is a paramount technology in the Internet of Things services. HAR using representation learning, which automatically learns feature from raw data, mainstream method because it difficult to interpret relevant information sensor data design meaningful features. Ensemble learning robust approach improve generalization performance; however, deep ensembl...

It is often the case in many problems in science and engineering that the analysis codes used are computationally very expensive. This can pose a serious impediment to the successful application of evolutionary optimization techniques. Metamodeling techniques present an enabling methodology for reducing the computational cost of such optimization problems. We present here a general framework fo...

The SIESTA (Simulation Environment for Semiconductor Technology Analysis) framework is an extensible tool for optimization and inverse modeling of semiconductor devices including dynamic load balancing for taking advantage of several, loosely connected workstations. Because of the increasing computational power available today, the use of evolutionary computation optimizers which usually requir...

Computational models of complex phenomena are an important resource for scientists and engineers. However, many state-of-the-art simulations of physical systems are computationally expensive to evaluate and are black box—meaning that they can be run, but their internal workings cannot be inspected or changed. Directly applying uncertainty quantification algorithms, such as those for forward unc...

For systems where exact constitutive relations are unknown, a microscopic level description can be alternatively used. As microscopic imulations are computationally expensive, there is a need for the development of robust algorithms in order to efficiently optimise such systems aking into consideration the inherent noise associated with the microscopic description. Three optimisation strategies...