Damage in structures often leads to failure. Thus it is very important to monitor structures for the occurrence of damage. When damage happens in a structure the consequence is a change in its modal parameters such as natural frequencies and mode shapes. Artificial Neural Networks (ANNs) are inspired by human biological neurons and have been applied for damage identification with varied success...

This paper presents a numerical investigation on the influence of different types of damage to the load capacity of in-service timber utility poles. Current design codes do not highlight a pole’s strength performance due to different types of damage. However, damages typically found in ageing timber poles, such as damage due to fungus or termite attack, have very different characteristics and r...

This paper, which is a part of an ongoing research study, describes a Genetic Algorithm-based approach towards a global damage identification framework for the continuous/periodic monitoring of civil structures. In order to localise and estimate the severity of damage regions, a one stage model-based Bayesian probabilistic damage detection approach is proposed. The method is based on response p...

Most real-world judgments and decisions require the consideration of multiple types of evidence. For example, judging the severity of environmental damage, medical illness, or negative economic trends often involves tracking and integrating evidence from multiple sources (i.e. different natural disasters, physical symptoms, or financial indicators). We hypothesized that the requirement to track...

abstract background and aims: one of the complications of breast cancer treatment is ipsilateral upper extremity lymphedema. secondary lymphedema is a chronic condition that leads to loss of function and disorder of quality of life. the aim of this study was to evaluate the effects of complex decongestive physical therapy (cdp) on pain severity and quality of life in patients with secondary upp...

This study developed a rapid assessment algorithm for post-hurricane forest damage estimation using moderate resolution imaging spectroradiometer (MODIS) measurements. The performance of five commonly used vegetation indices as post-hurricane forest damage indicators was investigated through statistical analysis. The Normalized Difference Infrared Index (NDII) was identified as the optimal dama...

objective(s) matricaria aurea is found abundant in iran and has large similarities in constituents especially essential oils, flavones and flavonoides as well as traditional uses to the main species; matricaria recutita l. anti-inflammatory, antioxidant and spasmolytic properties of the main species suggest that this plant may have beneficial effects on inflammatory bowel diseases so the presen...