Risk Modeling in Quality Assessment of Ready-Mix Concrete Using Simulation Methods
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09 ene 2025
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Publicado en línea: 09 ene 2025
Páginas: 71 - 76
Recibido: 28 abr 2023
Aceptado: 07 jun 2023
DOI: https://doi.org/10.2478/acee-2024-0006
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© 2024 Izabela SKRZYPCZAK et al., published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Figure 1.
Figure 2.
![Block scheme - simulation of the risk output variable (scheme developed based on [7])](https://sciendo-parsed.s3.eu-central-1.amazonaws.com/677fbdf9082aa65dea3c70d1/j_acee-2024-0006_fig_002.jpg?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Content-Sha256=UNSIGNED-PAYLOAD&X-Amz-Credential=AKIA6AP2G7AKOUXAVR44%2F20250906%2Feu-central-1%2Fs3%2Faws4_request&X-Amz-Date=20250906T054556Z&X-Amz-Expires=3600&X-Amz-Signature=db622c3be9aba110457e86324bc6ebc98cc36f05b3152252141238a8e568d74d&X-Amz-SignedHeaders=host&x-amz-checksum-mode=ENABLED&x-id=GetObject)
Risk values estimated for different types of copulas and different sample sizes
| Type of cupola | Number of random groups N | Value of risk |
|---|---|---|
| Gaussa | 1000 | 5.70 |
| 100000 | 5.57 | |
| Claytona | 1000 | 5.91 |
| 100000 | 5.85 |
Simulated risk of misconduct
| Parameter | Gauss copula | Clayton copula |
|---|---|---|
| Number of simulations | 1000 | 1000 |
| Maximum | 7.30 | 8.27 |
| Minimum | 0.21 | 4. |
| Mean | 4.46 | 5.11 |
| 95% |
5.70 | 5.91 |
Risk matrix calculated according to formula (9)
| 1 | 2 | 3 | |
|---|---|---|---|
| 1 | 1 | 2 | 3 |
| 2 | 2 | 4 | 6 |
| 3 | 3 | 6 | 9 |