Abstract: A state management device manages the state of a work machine. The work machine includes a work device, a posture sensor that senses posture information regarding the work device, and an action sensor that senses action information regarding actuators. The state management device includes a controller that performs a computation on the basis of the results of sensing performed by the posture sensor and the action sensor, and an output device that outputs the result of computation performed by the controller, in a recognizable manner. On the basis of the posture information regarding the work device and the action information regarding the actuators, the controller computes the cumulative damage degree of a driven member, stores temporal changes in the cumulative damage degree at a predetermined position of the driven member, and outputs the temporal changes in the cumulative damage degree at the predetermined position to the output device.

Abstract: The present disclosure provides a fatigue management system capable of managing fatigue of each portion of a construction machine more accurately than conventional systems. The fatigue management system S includes: a stress calculation section S1 that calculates stress acting on a plurality of portions of the construction machine based on the output of a sensor 18 attached to a part of the construction machine; a damage degree calculation section S2 that calculates the cumulative damage degree of each portion of the construction machine based on the stress calculated by the stress calculation section S1; and an index value calculation section S3 that calculates a fatigue index value, which is a weighted value of the cumulative damage degree, for each portion.

Abstract: Provided is a movement identification device capable of identifying a specific motion of a construction machine based on the output of a sensor attached to the construction machine with higher accuracy than the conventional technology. A movement identification device 100 includes a waveform generation unit 111, a waveform storage unit 121, and a motion identification unit 112. The waveform generation unit 111 generates a force waveform based on the signal of a force sensor that detects the force acting on the construction machine and an attitude waveform based on the signal of an attitude sensor that detects the attitude of the construction machine. The waveform storage unit 121 stores reference waveforms, which are combinations of force waveforms and attitude waveforms corresponding to specific motions.

Abstract: The present disclosure provides a fatigue management system capable of managing fatigue of each portion of a construction machine more accurately than conventional systems. The fatigue management system S includes: a stress calculation section S1 that calculates stress acting on a plurality of portions of the construction machine based on the output of a sensor 18 attached to a part of the construction machine; a damage degree calculation section S2 that calculates the cumulative damage degree of each portion of the construction machine based on the stress calculated by the stress calculation section S1; and an index value calculation section S3 that calculates a fatigue index value, which is a weighted value of the cumulative damage degree, for each portion.

Abstract: When simulating behavior of particles in a space having regions and subject to analysis, by processes of a predetermined number fewer than the number of regions, a particle simulation apparatus assigns the regions of the predetermined number, which are selected in descending order of the number of particles included in each of the regions, to differing processes among the processes of the predetermined number. The particle simulation apparatus sequentially assigns unassigned regions in descending order of the number of particles included in each of the unassigned regions, to the process for which the number of particles included in the regions already assigned to each of the processes of the predetermined number is the smallest.

Abstract: A particle simulation program is disclosed. A computer forms a particle generation surface in a vicinity of an inflow port. The computer forms a particle disappearance surface representing a boundary to eliminate particles depending on the particle generation surface. The computer performs a particle simulation, in which the particles of fluid filled in a vessel are flowed out from the inflow port. The computer periodically generates the particles from the particle generation surface. The computer eliminates a particle crossing out of the particle disappearance surface.

Abstract: A non-transitory, computer-readable recording medium storing therein a particle simulation program causing a computer to execute a process includes when the computer simulates behavior of particles in a space having regions and subject to analysis, by processes of a predetermined number fewer than the regions, assigning the regions of the predetermined number, selected in descending order of a number of particles included in each of the regions to differing processes among the processes of the predetermined number; and sequentially assigning unassigned regions in descending order of the number of particles included in each of the unassigned regions among the regions, excluding the regions of the predetermined number assigned to the differing processes, to a process identified based on the number of particles included in the region already assigned to each of the processes of the predetermined number.

Abstract: For first neighboring particles located within a radius of influence of a reference particle of a continuum model expressing a continuum as a collection of particles, a first interaction between the reference particle and the first neighboring particle is calculated according to a kernel function and the position of the first neighboring particle after displacement of the continuum model. For second neighboring particles that have entered the radius of influence of the reference particle after the displacement occurred, a second interaction between the reference particle and the second neighboring particle is calculated according to the kernel function and the position of the second neighboring particle after displacement of the continuum model. An interaction between the reference particle and a current neighboring particle of the reference particle is calculated according to the first and second interactions. The deformation gradient tensor of the kernel function is used to calculate the first interaction.

Abstract: A motion analysis apparatus includes a storage section configured to store data representing a plurality of particles representing an object; a partitioning process section configured to partition a particle of interest among the plurality of particles and to store data representing a plurality of partitioned particles obtained by partitioning the particle of interest into the storage section if a predetermined uneven distribution relationship exists between the particle of interest and other particles existing within a predetermined range having the particle of interest at a center of the predetermined range; and a motion analysis section configured to analyze the motion of the object depending on a type of the object using the data representing the plurality of partitioned particles stored in the memory storage section.