berkdemir

# Data from Tatone, B. S., Abdelaziz, A., & Grasselli, G. (2022). Novel Mechanical Classification Method of Rock Based on the Uniaxial Compressive Strength and Brazilian Disc Strength. Rock Mechanics and Rock Engineering, 1-5.
import pandas as pd
import seaborn as sns

# Rock Category
rock_type = {"Sedimentary": ["SL", "SSh", "SS", "SC"],
             "Metamorphic": ["MG", "MS", "MQ", "MM"],
             "Igneous": ["IG", "IF", "ID"]}

ordered_box_list = []

berkdemir

from plxscripting.easy import *

localhostport_i = 10000
password = "123456"
s_i, g_i = new_server("localhost", localhostport_i, password=password)

line_list = [g_i.Line_142_Line_153_1, g_i.Line_142_Line_152_1, g_i.Line_151_1]
# line_list is the list of lines that are to be activated.

# Activate only after the first 4 phases. (Including Initial Phase)

berkdemir

def EFS(Ground_Type, PGV, PGV_Red, VS, PI=20, OCR=1, Eff_Pressure=300):
    """
    Effective Shear Wave Velocity Using Darendeli (2001) and Schnabel (1973) by Berk Demir / https://github.com/berkdemir
    
    Inputs:
        Ground_Type: Either "Soil" or "Rock"
        PGV: Peak Ground Velocity (cm/sec) 
        PGV_Red: PGV reduction ratio with depth
        VS: Maximum shear wave velocity (m/s)
        PI: Plasticity index in percent. (For Soil only.)

berkdemir

def plate_forces(plate_list, plate_names, phase_list):
    """
    Plaxis plate forces fetcher by Berk Demir / https://github.com/berkdemir
    Returns (M, N) as a tuple from Plaxis.
    """
    select_plate_obj = []
    for _, j in enumerate(plate_names):
        # In my original code, I offer user the list of plate_names and user select the plates. Returned selected_plate_names is used to enumerate here. This is why code is structured the way it is.
        select_plate_obj.append(
            plate_list[plate_names.index(j)]

berkdemir

def group_forces(plate_list, plate_names, phase_list):
    """
    Plaxis group forces fetcher by Berk Demir / https://github.com/berkdemir
    Returns (M, N) as a tuple from Plaxis. If no group is defined in the model, it will return None.
    """
    select_group_obj = []
    for i, j in enumerate(group_names):
        # In my original code, I offer user the list of group_names and user select the groups. Returned selected_group_names is used to enumerate here. This is why code is structured the way it is.
        select_group_obj.append(
            group_list[group_names.index(j)]

berkdemir

"""
Hoek-Brown parameters in literature by Berk Demir

This is a simple dictionary called "RockDict" for different rock types and their mi and MR values. Deviations (± from the average) are also stored as miSTD and MRSTD.

Keys: Rock Types.
Sub-dictionary keys:
   * "MR": Modulus Ratio - int
   * "MRSTD": Deviation of Modulus Ratio - int
   * "Type": Rock type - str