Machine learning (ML) as a subset of artificial intelligence (AI), has gained significant attention in wind engineering applications over the past decade. Wind load predictions for tall buildings using ML studies presented literature have always been limited to static pressure measurements or time history without considering spatial coordinates system. To design wind-sensitive buildings, models must be capable estimating transient flow quantities along with its distribution. Thus, this...

Fibrillar dry adhesives are widely used due to their effectiveness in air and vacuum conditions. However, performance depends on various factors. Previous studies have proposed analytical methods predict adhesion strength micro-patterned surfaces. the method lacks interpretation which parameters critical. This research utilizes gradient-boosting machine learning (ML) algorithms accurately strength. Additionally, explainable (XML) employed interpret underlying reasoning behind predictions....

Porous structures fabricated through selective laser melting (SLM) are prospective candidates for high-energy-absorbing applications due to their tuneable mechanical properties. The Menger Fractal Cube (MFC) is a unique fractal cube formed iterative removal of smaller cubes from larger one. It distinguished by its intricate self-similar pattern voids and repeating at diminishing scales, resulting in lightweight highly complex structure. Using AlSi7Mg, compression experiments simulations...

The incorporation of Graphene Oxide (GO) nanomaterial into concrete has gained significant attention due to its potential enhance mechanical and durability properties. addition GO creates considerable changes in the morphology matrix, creating a densified microstructure. Critical parameters significantly affect these microstructural enhancements and, consequently, final performance GO-added concrete. These include material properties, superplasticiser (PS) type, dispersion techniques....

Graphene Oxide (GO) has recently gained significant attention as a new carbon-based nanomaterial (CBN) in the civil engineering industry due to its exceptional mechanical and functional properties. It been increasingly gaining popularity superior dispersibility characteristics aqueous solutions compared other graphene-based derivatives attached oxygen groups. A majority of current studies are focused on investigating effect GO cement composites. However, more useful applications lie...

The effects of blast waves and their consequent damage to structures have been an increasingly popular research topic in the past decade. Various methods are used load prediction on structures, including experimental, semi-empirical numerical approaches. However, there is a demand for developing time-efficient predictive that help various professionals, such as engineering practitioners first responders, regular activities. Machine learning (ML), subset artificial intelligence (AI), has...

This paper presents a time-efficient numerical approach to modelling high explosive (HE) blastwave propagation using Computational Fluid Dynamics (CFD). One of the main issues conventional CFD in simulations is ability accurately define initial properties that arise from ignition and consequent explosion. Specialised codes often employ Jones-Wilkins-Lee (JWL) or similar equation state (EOS) simulate blasts. However, most available are limited terms EOS modelling. They restrictive Ideal Gas...

This paper presents the first-ever investigation of Menger fractal cubes' quasi-static compression and impact behaviour. cubes with different void ratios were 3D printed using polylactic acid (PLA) dimensions 40×40×40 mm3. Three orders considered, namely M1 a ratio 0.26, M2 0.45, M3 0.60. Quasi-static Compression tests conducted universal testing machine, while drop hammer was used to observe behaviour under loading. The fracture mechanism, energy efficiency force-time histories studied....

Portable explosions in the form of backpacks and suitcases have been at forefront various terrorist activities due to their ability create unrest crucial infrastructure such as railway stations. At close range, these portable explosives, with charge sizes ranging from 2 kg 10 kg, can reasonably damage vital structural elements a building. For example, debris produced by breaching one slab overload slabs below multi-storey structure or pile up block access continuous functioning building...

The paper presents a study on the suitability of using Polymer as protective layer for critical structural elements prone to impact damage. Conventional damage mitigation methods include an outer steel jacket with void, protecting inner concrete-steel composite column. Whilst it is usually found that can partially negate load, column still experiences significant brunt load. In order minimise overall element, concept Polyurethane Polymer-Filled–Concrete–Steel Double-Skin Tubular Column...

Fibrillar dry adhesives have become popular in many contexts as they function well air and vacuum conditions. However, their performance strongly depends on several factors. Related work proposed analytical methods to predict the adhesion strength of micro-patterned surface. This study used gradient-boosting machine learning (ML) algorithms strength. Moreover, this different explainable (XML) interpret underlying reasoning predictions. The analysis emphasized that gradient boosting models...