Add to ORKGThe paper explores the potential of using a Multilayer Perceptron (MLP) network trained with the Backpropagation algorithm for damage assessment of free-free cracked straight steel beam based on vibration measurements. The problem of damage assessment, i.e. detecting, locating and quantifying a damage, is essentially a pattern recognition problem
Applicability of artificial neural networks is examined in determining the natural frequencies of in...
Laminated composites and sandwich structures are increasingly being used in different engineering ap...
Abstract. Structural failure can be prevented if the damage in the structure is detected at its onse...
In this paper the possibility of using a Multilayer Perceptron (MLP) network trained with the Backpr...
In this paper the possibility of using a Multilayer Perceptron (MLP) network trained with with the B...
Three different vibration based damage assessment techniques have been compared. One of the techniqu...
In this paper the possibility of using a Multilayer Perceptron (MLP) network trained with the Backpr...
Two different partially recurrent neural networks structured as Multi Layer Perceptrons (MLP) are in...
An analysis of artificial neural networks on damage assessment of an aluminum cantilever beam was co...
Fabrication technology and structural engineering states-of-art have led to a growing use of slender...
Damage in structures often leads to failure. Thus it is very important to monitor structures for the...
This paper presents a damage detection algorithm using a combination of global (changes in natural f...
In this paper the possibility of detecting and locating damages in a 20 m high steel lattice mast su...
Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, p...
This paper presents a damage detection algorithm using a combination of global (changes in natural f...
Applicability of artificial neural networks is examined in determining the natural frequencies of in...
Laminated composites and sandwich structures are increasingly being used in different engineering ap...
Abstract. Structural failure can be prevented if the damage in the structure is detected at its onse...
In this paper the possibility of using a Multilayer Perceptron (MLP) network trained with the Backpr...
In this paper the possibility of using a Multilayer Perceptron (MLP) network trained with with the B...
Three different vibration based damage assessment techniques have been compared. One of the techniqu...
In this paper the possibility of using a Multilayer Perceptron (MLP) network trained with the Backpr...
Two different partially recurrent neural networks structured as Multi Layer Perceptrons (MLP) are in...
An analysis of artificial neural networks on damage assessment of an aluminum cantilever beam was co...
Fabrication technology and structural engineering states-of-art have led to a growing use of slender...
Damage in structures often leads to failure. Thus it is very important to monitor structures for the...
This paper presents a damage detection algorithm using a combination of global (changes in natural f...
In this paper the possibility of detecting and locating damages in a 20 m high steel lattice mast su...
Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, p...
This paper presents a damage detection algorithm using a combination of global (changes in natural f...
Applicability of artificial neural networks is examined in determining the natural frequencies of in...
Laminated composites and sandwich structures are increasingly being used in different engineering ap...
Abstract. Structural failure can be prevented if the damage in the structure is detected at its onse...