Structural analysis method and information processing apparatus
AssigneeFujitsu Limited
InventorAmir HADERBACHE
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Abstract
An information processing apparatus generates a feature vector for each of a plurality of nodes included in an element in mesh data, based on a location of the corresponding node, an elastic modulus at the corresponding node, and stress applied to the corresponding node. The information processing apparatus enters the feature vectors of the nodes to a trained machine learning model, performs a convolutional operation on the feature vectors of the nodes, and estimates an element stiffness matrix indicating stiffness of the element based on a result of the convolutional operation.
Claims9
A non-transitory computer-readable recording medium storing therein a computer program that causes a computer to execute a process comprising:
- generating a feature vector for each node of a plurality of nodes included in an element in mesh data, based on a location of the each node, an elastic modulus at the each node, and stress applied to the each node;
- entering feature vectors of the plurality of nodes to a trained machine learning model;
- performing a convolutional operation on the feature vectors of the plurality of nodes;
- and
- estimating an element stiffness matrix indicating stiffness of the element based on a result of the convolutional operation.
A structural analysis method comprising:
- generating, by a processor, a feature vector for each node of a plurality of nodes included in an element in mesh data, based on a location of the each node, an elastic modulus at the each node, and stress applied to the each node;
- entering, by the processor, feature vectors of the plurality of nodes to a trained machine learning model;
- performing, by the processor, a convolutional operation on the feature vectors of the plurality of nodes;
- and
- estimating, by the processor, an element stiffness matrix indicating stiffness of the element based on a result of the convolutional operation.
An information processing apparatus comprising:
- a memory configured to store a trained machine learning model;
- and
- a processor coupled to the memory and the processor configured to:
- generate a feature vector for each node of a plurality of nodes included in an element in mesh data, based on a location of the each node, an elastic modulus at the each node, and stress applied to the each node;
- entering feature vectors of the plurality of nodes to the machine learning model;
- performing a convolutional operation on the feature vectors of the plurality of nodes;
- and
- estimating an element stiffness matrix indicating stiffness of the element based on a result of the convolutional operation.
Dependencies are inferred from the claim text.